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See searches and references containing BAYES FACTOR!BAYES FACTOR
Ratio of competing statistical models
The Bayes factor is a ratio of two competing statistical models represented by their evidence, and is used to quantify the support for one model over the
Bayes_factor
Mathematical rule for inverting probabilities
Bayes' theorem (alternatively Bayes' law or Bayes' rule), named after Thomas Bayes (/beɪz/), gives a mathematical rule for inverting conditional probabilities
Bayes'_theorem
British statistician (c. 1701 – 1761)
formulating a specific case of the theorem that bears his name: Bayes' theorem. Bayes never published what would become his most famous accomplishment;
Thomas_Bayes
Probabilistic classification algorithm
Despite the use of Bayes' theorem in the classifier's decision rule, naive Bayes is not (necessarily) a Bayesian method, and naive Bayes models can be fit
Naive_Bayes_classifier
Bayesian statistical inference method
integrated out. Empirical Bayes methods can be seen as an approximation to a fully Bayesian treatment of a hierarchical Bayes model. In, for example, a
Empirical_Bayes_method
Criterion for model selection
and published in a 1978 paper, as a large-sample approximation to the Bayes factor. The BIC is formally defined as B I C = k ln ( n ) − 2 ln ( L ^ )
Bayesian information criterion
Bayesian_information_criterion
Classification algorithm in statistics
the Bayes classifier is optimal and Bayes error rate is minimal proceeds as follows. Define the variables: Risk R ( h ) {\displaystyle R(h)} , Bayes risk
Bayes_classifier
Computational method in Bayesian statistics
of Bayes factors on S ( D ) {\displaystyle S(D)} may therefore be misleading for model selection purposes, unless the ratio between the Bayes factors on
Approximate Bayesian computation
Approximate_Bayesian_computation
Mathematical decision rule
In estimation theory and decision theory, a Bayes estimator or a Bayes action is an estimator or decision rule that minimizes the posterior expected value
Bayes_estimator
redirect targets Bayes error rate – Error rate in statistical mathematics Bayes estimator – Mathematical decision rule Bayes factor – Ratio of competing
List of things named after Thomas Bayes
List_of_things_named_after_Thomas_Bayes
Probability puzzle
probability solution through a formal application of Bayes' theorem — among them books by Gill and Henze. Bayes' theorem states that the conditional probability
Monty_Hall_problem
Concept in machine learning
the local Hessian curvature. This explanation is formalized through PAC-Bayes compression-based generalization bounds, which show that less complex models
Double_descent
Function of the observed sample results
inferential statistics, such as confidence intervals, likelihood ratios, or Bayes factors, but there is heated debate on the feasibility of these alternatives
P-value
Method of statistical inference
Bayesian inference (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a method of statistical inference in which Bayes' theorem is used to calculate a probability
Bayesian_inference
Probabilistic graphical representation of causal relationships
A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a
Bayesian_network
Statistical test that compares goodness of fit
statistical test. Other extensions exist.[which?] Akaike information criterion Bayes factor Johansen test Model selection Vuong's closeness test Sup-LR test Error
Likelihood-ratio_test
Class of statistical tests
come from other distributions under consideration, most simply using a Bayes factor (giving the relative likelihood of seeing the data given different models)
Normality_test
Function related to statistics and probability theory
Bayesian inference, where it is known as the Bayes factor, and is used in Bayes' rule. Stated in terms of odds, Bayes' rule states that the posterior odds of
Likelihood_function
Collection of statistical models
individual factors. We can consider the 2-way interaction example where we assume that the first factor has 2 levels and the second factor has 3 levels
Analysis_of_variance
Measure of variation in statistics
correction factor to produce an unbiased estimate. For the normal distribution, an unbiased estimator is given by s/c4, where the correction factor (which
Standard_deviation
Comparison of post-resurrection appearances of Jesus
group appearances of the risen Jesus produces a very large cumulative Bayes factor strongly supporting the reality of the resurrection over purely naturalistic
Overview of resurrection appearances in the Gospels and Paul
Overview_of_resurrection_appearances_in_the_Gospels_and_Paul
Statistical method
factors as possible), the criterion could be as low as 50%. By placing a prior distribution over the number of latent factors and then applying Bayes'
Factor_analysis
Mathematical methods used in Bayesian inference and machine learning
samples, variational Bayes provides a locally-optimal, exact analytical solution to an approximation of the posterior. Variational Bayes can be seen as an
Variational_Bayesian_methods
Conditional probability used in Bayesian statistics
probability with information summarized by the likelihood via an application of Bayes' rule. From an epistemological perspective, the posterior probability contains
Posterior_probability
In Bayesian probability theory
can be stated schematically as posterior odds = prior odds × Bayes factor Empirical Bayes methods Lindley's paradox Marginal probability Bayesian information
Marginal_likelihood
Method of estimating the parameters of a statistical model
function-space applications. In the context of Bayes estimators, the MAP can be recovered as the minimizer of the Bayes risk with risk function L ( θ , a ) = {
Maximum a posteriori estimation
Maximum_a_posteriori_estimation
Bias in causal inference
(smoking status) and the dependent variable (health outcome). If these factors are not controlled, the observed association between smoking and lung disease
Confounding
Position that there is no relationship between two phenomena
selection techniques are based on either Akaike information criterion or Bayes factor). Hypothesis testing requires constructing a statistical model of what
Null_hypothesis
Statistical concept
some special e-variables can be written as Bayes factors with some very special priors, but most Bayes factors one encounters in practice are not e-variables
E-values
Interpretation of probability
information. The sequential use of Bayes' theorem: as more data become available, calculate the posterior distribution using Bayes' theorem; subsequently, the
Bayesian_probability
Russian woman
a statistically significant result. He also argued that Hyman used a Bayes factor that was statistically unjustifiable because it greatly increased the
Natasha_Demkina
Method of data analysis
eigenvector-based multivariate analyses and is closely related to factor analysis. Factor analysis typically incorporates more domain-specific assumptions
Principal_component_analysis
Method of statistical analysis
presented in this section can be used to compare competing linear models by Bayes factors. These models may differ in the number and values of the predictor variables
Bayesian_linear_regression
Task of selecting a statistical model from a set of candidate models
criterion and (ii) the Bayes factor and/or the Bayesian information criterion (which to some extent approximates the Bayes factor), see Stoica & Selen (2004)
Model_selection
Fundamental theorem in probability theory and statistics
{\displaystyle {\bar {X}}_{n}} and its limit μ , {\displaystyle \mu ,} scaled by the factor n {\displaystyle {\sqrt {n}}} , approaches the normal distribution with
Central_limit_theorem
Study of collection and analysis of data
Analysis An alternative paradigm to the popular frequentist paradigm is to use Bayes' theorem to update the prior probability of the hypotheses in consideration
Statistics
Statistical method for multiple testing
model-averaged Bayes factor when combining p-values from likelihood ratio tests. I. J. Good reported an empirical relationship between the Bayes factor and the
Harmonic_mean_p-value
Free and open-source statistical program
perfect replications. Bayesian inference uses credible intervals and Bayes factors to estimate credible parameter values and model evidence given the available
JASP
Mathematical relation assigning a probability event to a cost
{\displaystyle a} also minimizes the overall Bayes Risk. This optimal decision, a ∗ {\displaystyle a^{*}} is known as the Bayes (decision) Rule - it minimises the
Loss_function
Statistical modeling method
Censored regression model Cross-sectional regression Curve fitting Empirical Bayes method Errors and residuals Lack-of-fit sum of squares Line fitting Linear
Linear_regression
Method of statistical inference
this goal "is not attainable". Aldrich, J (2008). "R. A. Fisher on Bayes and Bayes' theorem". Bayesian Analysis. 3 (1): 161–170. doi:10.1214/08-BA306
Statistical_hypothesis_test
Process of using data analysis for predicting population data from sample data
JSTOR 91337. Preface to Pfanzagl. Little, Roderick J. (2006). "Calibrated Bayes: A Bayes/Frequentist Roadmap". The American Statistician. 60 (3): 213–223. doi:10
Statistical_inference
Type of statistical measure over subsets of a dataset
{n+1}}\end{aligned}}} A weighted average is an average that has multiplying factors to give different weights to data at different positions in the sample
Moving_average
Statistical theorem
conclude that for testing fixed effects, “it's wise to use simulation.” Bayes factor Model selection Sup-LR test Akaike information criterion (AIC) Pinheiro
Wilks'_theorem
Distribution of an uncertain quantity
latent variable rather than an observable variable. In Bayesian statistics, Bayes' rule prescribes how to update the prior with new information to obtain
Prior_probability
Statistical property
population mean, due to the factor 1 / n {\displaystyle 1/{\sqrt {n}}} , reducing the error on the estimate by a factor of two requires acquiring four
Standard_error
Theory and paradigm of statistics
Bayesian statistical methods use Bayes' theorem to compute and update probabilities after obtaining new data. Bayes' theorem describes the conditional
Bayesian_statistics
Statistical relationship
health, or does good health lead to good mood, or both? Or does some other factor underlie both? In other words, a correlation can be taken as evidence for
Correlation
Model for generating observable data in probability and statistics
using Bayes rules to calculate p ( y ∣ x ) {\displaystyle p(y\mid x)} , and then picking the most likely label y. Mitchell 2015: "We can use Bayes rule
Generative_model
Statistical measure of the magnitude of a phenomenon
statistic, with the critical difference that the t-test statistic includes a factor of n {\displaystyle {\sqrt {n}}} . This means that for a given effect size
Effect_size
Experimental design framework
approximate the expected utility. Another approach is to use a variational Bayes approximation of the posterior, which can often be calculated in closed
Bayesian_experimental_design
Theory and technique of psychological measurement
observed. Examples of latent constructs include intelligence, personality factors (e.g., introversion), mental disorders, and educational achievement. The
Psychometrics
Statistical measure of variability
}}=k\cdot \operatorname {MAD} ,} where k {\displaystyle k} is a constant scale factor, which depends on the distribution. For normally distributed data k {\displaystyle
Median_absolute_deviation
Statistical method for handling multiple comparisons
BH-Selected CIs (Benjamini and Yekutieli (2005)), Bayes FCR (Zhao and Hwang (2012)), and other Bayes methods. Connections have been made between the FDR
False_discovery_rate
atomic event Another name for elementary event. bar chart Bayes' theorem Bayes estimator Bayes factor Bayesian inference bias 1. Any feature of a sample that
Glossary of probability and statistics
Glossary_of_probability_and_statistics
Probabilistic model
of Bayesian networks. One of the simplest Bayesian Networks is the Naive Bayes classifier. The next figure depicts a graphical model with a cycle. This
Graphical_model
Method of estimating the parameters of a statistical model, given observations
errors, the Bayes Decision rule can be reformulated as: h Bayes = a r g m a x w [ P ( x ∣ w ) P ( w ) ] , {\displaystyle h_{\text{Bayes}}={\underset
Maximum_likelihood_estimation
Study of health and disease within a population
shapes policy decisions and evidence-based practice by identifying risk factors for disease and targets for preventive healthcare. Epidemiologists help
Epidemiology
Type of mathematical model
models." Common criteria for comparing models include the following: R2, Bayes factor, Akaike information criterion, and the likelihood-ratio test together
Statistical_model
Statistical measure of how far values spread from their average
biased estimator: it underestimates the variance by a factor of (n − 1) / n; correcting this factor, resulting in the sum of squared deviations about the
Variance
Series of questions for gathering information
over time), content validity, construct validity, and criterion validity. Factor analysis is used in the scale development process. Questionnaires used to
Questionnaire
American epidemiologist
measures of the probability that a hypothesis is true—and proposed the Bayes factor as a more interpretable alternative for quantifying statistical evidence
Steven_N._Goodman
Statistic measuring inter-rater agreement for categorical items
effect of bias is greater when Kappa is small than when it is large. Another factor is the number of codes. As number of codes increases, kappas become higher
Cohen's_kappa
Type of "good" decision rule in Bayesian statistics
is called a Bayes rule with respect to π ( θ ) {\displaystyle \pi (\theta )\,\!} . There may be more than one such Bayes rule. If the Bayes risk is infinite
Admissible_decision_rule
Concepts from statistical hypothesis testing
an observed positive result is a false positive may be calculated using Bayes' theorem. False negatives produce serious and counter-intuitive problems
Type_I_and_type_II_errors
Term in statistical hypothesis testing
important factor (such as the statistical reliability), as well as the design of an experiment or observational study. Ultimately, these factors lead to
Power_(statistics)
Statistical measure to determine how suited data is for factor analysis
(KMO) test is a statistical measure to determine how suited data is for factor analysis. The test measures sampling adequacy for each variable in the model
Kaiser–Meyer–Olkin_test
Type of chart
stack shows the combined result. Unlike a grouped bar chart where each factor is displayed next to another, each with their own bar, the stacked bar chart
Bar_chart
Measure of the joint variability
\left[{\overline {W}}\right]} Notice the complex conjugation of the second factor in the definition. A related pseudo-covariance can also be defined. If the
Covariance
Statistical interpretation with many tests
Tibshirani, Robert; Storey, John D.; Tusher, Virginia (2001). "Empirical Bayes analysis of a microarray experiment". Journal of the American Statistical
Multiple_comparisons_problem
Mathematical index used in Bayesian statistics
direction have been studied by comparing it to other indices including the Bayes factor or Bayesian Equivalence test: Unlike indices related to the Region of
Probability_of_direction
algorithm Bayes classifier Bayes error rate Bayes estimator Bayes factor Bayes linear statistics Bayes' rule Bayes' theorem Evidence under Bayes theorem
List_of_statistics_articles
Generates a forecast of future values of a time series
\quad t>0\end{aligned}}} where α {\textstyle \alpha } is the smoothing factor, and 0 < α < 1 {\textstyle 0<\alpha <1} . If s t − 1 {\textstyle s_{t-1}}
Exponential_smoothing
Processes that maintain quality at a constant level
control (QC) is a process by which entities review the quality of all factors involved in production. ISO 9000 defines quality control as "a part of
Quality_control
Class of statistical survival models
only difference between subjects' hazards comes from the baseline scaling factor exp ( X i ⋅ β ) {\displaystyle \exp(X_{i}\cdot \beta )} . To start, suppose
Proportional_hazards_model
Species of mosquito
ISSN 1555-6689. Razygraev, A. V.; Sulesco, T. M. (2020). "The Use of the Bayes Factor for Identification of Culex pipiens and C. torrentium (Diptera: Culicidae)
Culiseta_annulata
Statistical methods to improve the quality of manufactured goods
for "control factors" or factors in the "inner array". By combining an inner array of control factors with an outer array of "noise factors", Taguchi's
Taguchi_methods
Design of tasks
identify control variables that must be held constant to prevent external factors from affecting the results. Experimental design involves not only the selection
Design_of_experiments
Unbiased statistical estimator minimizing variance
the MVUE for g ( θ ) . {\displaystyle g(\theta ).} A Bayesian analog is a Bayes estimator, particularly with minimum mean square error (MMSE). An efficient
Minimum-variance unbiased estimator
Minimum-variance_unbiased_estimator
Statistical property
which an attempt is made to construct a probability distribution, using Bayes' theorem: p ( θ ∣ D , I ) ∝ p ( θ ∣ I ) p ( D ∣ θ , I ) {\displaystyle p(\theta
Bias_of_an_estimator
Concept in inferential statistics
use alternative measures of evidence, such as likelihood ratios or Bayes factors. Using Bayesian statistics can avoid confidence levels, but also requires
Statistical_significance
Design of experiments to collect similar contexts together
nuisance factor is used as a blocking factor if every level of the primary factor occurs the same number of times with each level of the nuisance factor. The
Blocking_(statistics)
Number of values in the final calculation of a statistic that are free to vary
residual sum of squares has a scaled chi-squared distribution (scaled by the factor σ 2 {\displaystyle \sigma ^{2}} ), with n − 1 degrees of freedom. The degrees-of-freedom
Degrees of freedom (statistics)
Degrees_of_freedom_(statistics)
Overview of and topical guide to statistics
inference Bayes' theorem Bayes estimator Prior distribution Posterior distribution Conjugate prior Posterior predictive distribution Hierarchical bayes Empirical
Outline_of_statistics
American psychologist (born 1938)
Psychology. Jeffrey Rouder and Richard Morey, who applied a meta-analytical Bayes factor to Bem's data, concluded, "We remain unconvinced of the viability of
Daryl_Bem
Categorization of data using statistics
Logistic regression – Statistical model for a binary dependent variable Naive Bayes classifier – Probabilistic classification algorithm Perceptron – Algorithm
Statistical_classification
Mathematical model used for classification or regression
Y} for the unknown variable x ~ {\displaystyle {\widetilde {x}}} using Bayes' theorem. Discriminative models, as opposed to generative models, do not
Discriminative_model
Method for numerical integration
simultaneously. Bayesian model selection provides a method for assessing the Bayes factor, which gives the relative merit of each model. The posterior probability
Nested_sampling_algorithm
Simultaneous observation and analysis of more than one outcome variable
ordered so that they summarize decreasing proportions of the variation. Factor analysis is similar to PCA but allows the user to extract a specified number
Multivariate_statistics
Analysis, 1 (1), 1–40. See page 5. Aldrich, A (2008). "R. A. Fisher on Bayes and Bayes' Theorem". Bayesian Analysis. 3 (1): 161–170. doi:10.1214/08-ba306
History_of_statistics
Selection of data points in statistics
bound on the sampling error with probability 1000/1001. His estimates used Bayes' theorem with a uniform prior probability and assumed that his sample was
Sampling_(statistics)
Relationship between items in a set
Academic journal[broken anchor]s are sometimes ranked according to impact factor; the number of later articles that cite articles in a given journal. Ordinal
Ranking
Estimate of an unobservable underlying probability density function
diabetes, we can obtain the probability of diabetes conditional on "glu" via Bayes' rule. For brevity, "diabetes" is abbreviated "db." in this formula. p (
Density_estimation
Proposition in statistics
vice versa. In Bayesian statistics, this ratio is known as the Bayes factor, and Bayes' rule can be seen as the application of the law of likelihood to
Likelihood_principle
Method used in statistics, pattern recognition, and other fields
{\mu }}_{1},\Sigma _{1}\right)} , respectively. Under this assumption, the Bayes-optimal solution is to predict points as being from the second class if
Linear_discriminant_analysis
Interpretation of probability
with some appreciation for subjective probability (prior to and without Bayes' theorem). Gauss and Laplace used frequentist (and other) probability in
Frequentist_probability
Monte Carlo algorithm
expected value (mean or average) of the sampled values is chosen; this is a Bayes estimator that takes advantage of the additional data about the entire distribution
Gibbs_sampling
Scientific procedure performed to validate a hypothesis
cause-and-effect by demonstrating what outcome occurs when a particular factor is manipulated. Experiments vary greatly in goal and scale but always rely
Experiment
Statistical principle
Wiley. ISBN 0-471-92416-4. Blackwell, D.; Ramamoorthi, R. V. (1982). "A Bayes but not classically sufficient statistic". Annals of Statistics. 10 (3):
Sufficient_statistic
Obligation on a party in a dispute to provide sufficient warrant for their position
selection techniques are based on either Akaike information criterion or Bayes factor.) Philosophy portal J. B. Bury § History as a science Burden of proof
Burden_of_proof_(philosophy)
BAYES FACTOR
BAYES FACTOR
Surname or Lastname
Czech and Slovak (Bareš)
Czech and Slovak (Bareš) : from a pet form of the personal name Bartoloměj (see Bartholomew).German : probably from a Germanic personal name based on bero ‘bear’English : unexplained; perhaps a variant of Barrs or Barras.Galician : habitational name from Bares in A Coruña province.
Surname or Lastname
Irish
Irish : reduced Anglicized form of Gaelic Ó hAodha ‘descendant of Aodh’, a personal name meaning ‘fire’ (compare McCoy). In some cases, especially in County Wexford, the surname is of English origin (see below), having been taken to Ireland by the Normans.English : habitational name from any of various places, for example in Devon and Worcestershire, so called from the plural of Middle English hay ‘enclosure’ (see Hay 1), or a topographic name from the same word.English : habitational name from any of various places, for example in Dorset, Greater London (formerly in Kent and Middlesex), and Worcestershire, so called from Old English hǣse ‘brushwood’, or a topographic name from the same word.English : patronymic from Hay 3.French : variant (plural) of Haye 3.Jewish (Ashkenazic) : metronymic from Yiddish name Khaye ‘life’ + the Yiddish possessive suffix -s.U.S. President Rutherford B. Hayes (1822–1893), born in Delaware, OH, was descended from old New England families on both sides. Through the paternal line he was descended from George Hayes, who emigrated from Scotland in 1680 and settled in Windsor, CT.
Boy/Male
American, Australian, British, English, Irish
From the Hedged Place; Surname
Boy/Male
Anglo Saxon
From Ban.
Boy/Male
English Shakespearean
often used as a surname.
Surname or Lastname
English
English : patronymic from Bate (see Bartholomew).Americanized form of German Betz. See also Betts.
Surname or Lastname
English
English : variant spelling of Baines.
Surname or Lastname
English
English : patronymic from Bay.
Surname or Lastname
English
English : patronymic from the Middle English personal name Baye (see Bay).
Surname or Lastname
English and Dutch
English and Dutch : variant spelling of Bay.
Surname or Lastname
English
English : variant spelling of Bailes.Czech (Baleš) and Slovak (Báleš) : from a pet form of Bal, a shortened form of the personal name Baltazar.
Surname or Lastname
English (Lancashire)
English (Lancashire) : variant spelling of Hayes.
Boy/Male
American, British, English, Shakespearean
Ploughman; Variant of Bartholomew Often Used as a Surname
Surname or Lastname
English (East Midlands)
English (East Midlands) : variant of Bayes.
Boy/Male
Irish American English
Surname.
Surname or Lastname
English
English : patronymic from the personal name May (see May).
Surname or Lastname
English
English : patronymic from Kay 5.
Surname or Lastname
English (chiefly Yorkshire)
English (chiefly Yorkshire) : variant spelling of Boyce.Americanized spelling of French Bois.
Surname or Lastname
English
English : unexplained.variant of Spanish Rayas.Muslim : variant of Rais.
Surname or Lastname
English
English : variant spelling of Bailes.
BAYES FACTOR
BAYES FACTOR
Surname or Lastname
English
English : probably a variant of Exley or Oxley.Americanized spelling of German Echsle or Öchsle, from a diminutive of Middle High German ohse ‘ox’, applied as a nickname for someone dealing with oxen (especially a plowman), or a habitational name for someone who lived at a house distinguished by the sign of an ox.
Boy/Male
Indian, Punjabi, Sikh
Brilliant Friend
Girl/Female
Hindu
Lighting
Girl/Female
French
Shining light.
Boy/Male
Celtic
Son of Diarmaid.
Surname or Lastname
English
English : variant spelling of Dimmick.Perhaps an Americanized form of Serbian Dimić, from the personal name Dima, a pet form of Dimitrije, from Greek Dēmētrios (Latin Demetrius; see Demetriou).Americanized spelling of Slovenian Dimic : nickname for a gray-haired man, from the noun dimec ‘graybeard’, a derivative of the adjective dimast ‘dark gray’. The form Dimec is also found as a Slovenian name.
Boy/Male
Bengali, Celebrity, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Oriya, Punjabi, Sikh, Sindhi, Telugu
Lord of the Brave
Girl/Female
Muslim
Beneficial. Useful.
Girl/Female
English
Girl.
Girl/Female
American, Australian, British, Christian, English, French, Hebrew
Beloved; Feminine Form of David
BAYES FACTOR
BAYES FACTOR
BAYES FACTOR
BAYES FACTOR
BAYES FACTOR
v. t.
A song to quiet babes or lull them to sleep; that which quiets.
n.
An affirmative vote; one who votes in the affirmative; as, "To call for the ayes and noes;" "The ayes have it."
n.
Alt. of Bayze
v. i.
To be baked; to become dry and hard in heat; as, the bread bakes; the ground bakes in the hot sun.
v. i.
To do the work of baking something; as, she brews, washes, and bakes.
n.
One of the branchiae attached to the bases of the legs in Crustacea.
n.
Packs or bales of Spanish wool.
a.
Having a bay or bays.
n.
One of several isomeric organic bases of the quinoline series of alkaloids.
a.
Situated under, or at the bases of, the lobules of the liver.
n.
The player stationed in the field bewtween the second and third bases.
n.
A solid body resembling a right cylinder, but having the bases or ends elliptical.
imp. & p. p.
of Bay
pl.
of Basis
v. i.
To make up packs, bales, or bundles; to stow articles securely for transportation.
n.
any one of a series of nitrogenous bases, certain of which are used as antipyretics.
n.
Either of two metameric nitrogenous hydrocarbon bases, C12H8N2, analogous to phenanthridine, but more highly nitrogenized.
n.
Wearing, or protected by, bases.
n.
A five-pointed star, resembling five alphas joined at their bases; -- used as a symbol.
a.
Related to, or formed from, pyridin or its homologues; as, the pyridic bases.