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See searches and references containing CONDITIONAL DEPENDENCE!CONDITIONAL DEPENDENCE
Concept in probability theory
conditional dependence is a relationship between two or more events that are dependent when a third event occurs. It is the opposite of conditional independence
Conditional_dependence
Probability theory concept
hypothesis. It is the opposite of conditional dependence. Conditional independence is usually formulated in terms of conditional probability, as a special case
Conditional_independence
Probabilistic model
model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. Graphical models are commonly
Graphical_model
Graphical tool in probability
and n(n − 1) dependence parameters, whereby n − 1 parameters correspond to bivariate margins, and the others correspond to conditional bivariate margins
Vine_copula
Conditionals that discuss what would have been if things were otherwise
Counterfactual conditionals (also contrafactual/subjunctive/X-marked conditionals) are conditional sentences that describe what would have been true if
Counterfactual_conditional
Arminian religious doctrine
encouragement, and prayerful dependence on the Holy Spirit. It is widely affirmed across various Christian traditions. The conditional preservation of the saints
Conditional preservation of the saints
Conditional_preservation_of_the_saints
Probability of an event occurring, given that another event has already occurred
In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption
Conditional_probability
Measure of dependence between two variables
mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables. More specifically, it quantifies the "amount
Mutual_information
Time series model
In econometrics, the autoregressive conditional heteroskedasticity (ARCH) model is a statistical model for time series data that describes the variance
Autoregressive conditional heteroskedasticity
Autoregressive_conditional_heteroskedasticity
In compiler theory, dependence analysis produces execution-order constraints between statements/instructions. Broadly speaking, a statement S2 depends
Dependence_analysis
Topics referred to by the same term
Barbiturate dependence Benzodiazepine dependence Caffeine dependence Cannabis dependence Cocaine dependence Opioid dependence Tanning dependence Dependent
Dependency
Supervised machine learning techniques
conditional dependence on the tag of the previous word. This fact can be exploited in a sequence model such as a hidden Markov model or conditional random
Structured_prediction
Risk measure estimating the average loss in the worst tail of the distribution
shortfall is also called conditional value at risk (CVaR), average value at risk (AVaR), tail value at risk (TVaR), conditional tail expectation (CTE),
Expected_shortfall
Statistical relationship
causation". Furthermore, the concept of correlation is not the same as dependence: if two variables are independent, then they are uncorrelated, but the
Correlation
Class of distance functions defined between probability distributions
Arthur; Sun, Xiaohui; Schölkopf, Bernhard (2007). "Kernel Measures of Conditional Dependence". Advances in Neural Information Processing Systems. 20. Sejdinovic
Integral_probability_metric
would have a family by now. The "zero conditional" is a pattern independent of tense, simply expressing the dependence of the truth of one proposition on
Uses_of_English_verb_forms
Fundamental Buddhist teaching
indirect and plural conditionality which is somewhat different from classic European views on causation. The Buddhist concept of dependence is referring to
Pratītyasamutpāda
Inequality between integrals in Lp spaces
side of the conditional Hölder inequality, 0 times ∞ as well as ∞ times 0 means 0. Multiplying a > 0 with ∞ gives ∞. Proof of the conditional Hölder inequality:
Hölder's_inequality
Concept in Christian theology
emphasis on the active destruction of a person, conditionalism places emphasis on a person's dependence upon God for life; the extinction of the person
Christian_conditionalism
Systematization of the Theravāda school's understanding of the highest Buddhist teachings
fact that dhammas always arise together is also connected to their conditional dependence on each other. In the Abhidhamma, nothing arises without a cause
Theravada_Abhidhamma
How one process influences another
empirical regularities (constant conjunctions of events), changes in conditional probabilities, counterfactual conditions, mechanisms underlying causal
Causality
Concurrent validity Conditional change model Conditional distribution – see Conditional probability distribution Conditional dependence Conditional expectation
List_of_statistics_articles
Study of high-dimensional data
high-dimensional data. Graphical models are used to encode the conditional dependence structure between different variables. Under a Gaussianity assumption
High-dimensional_statistics
When the occurrence of one event does not affect the likelihood of another
does not affect the probability distribution of the other. Conversely, dependence is when the occurrence of one event does affect the likelihood of another
Independence (probability theory)
Independence_(probability_theory)
Substance use disorder
Polysubstance dependence refers to a type of substance use disorder in which an individual uses at least three different classes of substances indiscriminately
Polysubstance_dependence
independent of random variable X {\displaystyle X} if and only if its conditional mean E ( Y ∣ X = x ) {\displaystyle E(Y\mid X=x)} equals its (unconditional)
Mean_dependence
Statistical model for a binary dependent variable
be to predict the likelihood of a homeowner defaulting on a mortgage. Conditional random fields, an extension of logistic regression to sequential data
Logistic_regression
Proteins that mediate programmed cell death
suppressor, a conditional tumor suppressor. In addition, events such as cellular atrophy and process retraction may also be mediated by dependence receptors
Dependence_receptor
criteria for cannabis abuse or dependence within the past year. Among individuals who have ever used cannabis, conditional dependence (the proportion who go on
Long-term_effects_of_cannabis
Chemical property
hydrolysis product contains n hydroxide groups log β* = log K + n log KW Conditional constants, also known as apparent constants, are concentration quotients
Equilibrium_constant
Computer processor technique
Memory dependence prediction is a technique, employed by high-performance out-of-order execution microprocessors that execute memory access operations
Memory_dependence_prediction
Han 1980). Conditional total correlation is defined analogously to the total correlation, but adding a condition to each term. Conditional total correlation
Total_correlation
American philosopher (born 1942)
relationship models and returns the most plausible causal models based on conditional dependence relationships between those variables. The algorithm is based on
Clark_Glymour
Sense or significance of an entity
between sense and reference; the roles of vagueness, ambiguity, and context-dependence; and how the meaning of a complex expression depends on the meanings of
Meaning_(philosophy)
Greek Stoic philosopher (c.279–c.206 BC)
disjunction, and the conditional, and Chrysippus studied their criteria of truth closely. The first logicians to debate conditional statements were Diodorus
Chrysippus
Dominance of states through indirect means
neocolonialism was first used after World War II to refer to the continuing dependence of former colonies on foreign countries, but its meaning soon broadened
Neocolonialism
Model for generating observable data in probability and statistics
rule (computing one conditional probability in terms of the other) and the definition of conditional probability (computing conditional probability in terms
Generative_model
Type of poverty reducing program
Conditional cash transfer (CCT) programs aim to reduce poverty by making cash transfers conditional upon the receivers' actions. The government (or a
Conditional_cash_transfer
Theorem in measure theory
Copula (statistics) – Statistical distribution for dependence between random variables Conditional expectation – Expected value of a random variable given
Disintegration_theorem
Family of logics for natural-language and counterfactual conditionals
the classical material conditional A ⊃ B {\displaystyle A\supset B} , most conditional logics build some notion of dependence between antecedent and consequent
Conditional_logic
Correlation of a signal with a time-shifted copy of itself, as a function of shift
frequency. Serial dependence is closely linked to the notion of autocorrelation, but represents a distinct concept (see Correlation and dependence). In particular
Autocorrelation
Table that displays the frequency of variables
the (direct-)dependence structure underlying the variables contained in high-dimensional contingency tables. If some of the conditional independences
Contingency_table
Data visualization
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Box_plot
In probability theory, the tail dependence of a pair of random variables is a measure of their comovements in the tails of the distributions. The concept
Tail_dependence
Consequence affecting an organism's future behavior
in some medical and psychopharmacology models, particularly addiction, dependence, and compulsion. Laboratory research on reinforcement is usually dated
Reinforcement
Statistical phenomenon
of random variables follows a bivariate normal distribution, then the conditional mean E(Y | X) is a linear function of X. The correlation coefficient
Regression_toward_the_mean
Frameworks support dependence analysis in a variety of ways, helping to capture the impact of symbolic terms, identify conditional dependences, and separating
Frameworks supporting the polyhedral model
Frameworks_supporting_the_polyhedral_model
Restructuring existing computer code without changing its external behavior
substandard program. Program dependence graph - explicit representation of data and control dependencies System dependence graph - representation of procedure
Code_refactoring
Probabilistic graphical representation of causal relationships
probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). While it is one of several
Bayesian_network
Extreme fear of heights
theory states that phobic anxiety is conditioned and triggered by a conditional stimulus. By avoiding phobic situations, anxiety is reduced. However
Acrophobia
Computer software installed on multiple computing platforms
be compiled to multiple platform-specific formats. One technique is conditional compilation. With this technique, code that is common to all platforms
Cross-platform_software
Sociological term
measures of welfare dependence are assessed alongside the statistics for poverty in general. Government measures of welfare dependence include welfare benefits
Welfare_dependency
Mathematical model used for classification or regression
referred to as conditional models, are a class of models frequently used for classification. In machine learning, it typically models the conditional distribution
Discriminative_model
Group of neural structures responsible for motivation and desire
reward-seeking behaviors and its expression. It is involved in spatial learning, conditional response, and impulsive choice; the long term elements of reward. The
Reward_system
Class of nonparametric methods
X)={\frac {P(X,Y)}{P(X)}}=} conditional distribution of Y {\displaystyle Y} given X {\displaystyle X} with corresponding conditional embedding operator C Y
Kernel embedding of distributions
Kernel_embedding_of_distributions
Set of techniques employed by microprocessors
operations at execution time and allow the processor to recover when a dependence has been violated. They also eliminate spurious memory dependencies and
Memory_disambiguation
Relative measure of dispersion expressed as the ratio of standard deviation to the mean
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Coefficient_of_variation
Statistical hypothesis test
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
F-test
Drug mixture used mainly to treat ADHD and narcolepsy
higher-than-prescribed doses poses a significant risk of addiction or dependence due to the pronounced reinforcing effects that are present at high doses
Adderall
Statistic measuring inter-rater agreement for categorical items
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Cohen's_kappa
Statistics concept
nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x). Although polynomial regression fits a nonlinear
Polynomial_regression
Act of the Parliament of the United Kingdom
present Year. The whole act. 22 Geo. 3. c. 53 Repeal of Act for Securing Dependence of Ireland Act 1782 An Act to repeal an Act, made in the Sixth Year of
Statute_Law_Revision_Act_1871
How many standard deviations apart from the mean an observed datum is
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Standard_score
Nonparametric test of the null hypothesis
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Mann–Whitney_U_test
Type of average of a collection of numbers
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Arithmetic_mean
Type of statistics
kurtosis if more than one variable is measured, a measure of statistical dependence such as a correlation coefficient A common collection of order statistics
Summary_statistics
Generates a forecast of future values of a time series
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Exponential_smoothing
Method of data analysis
NMF PCA PGD t-SNE SDL Structured prediction Graphical models Bayes net Conditional random field Hidden Markov Anomaly detection RANSAC k-NN Local outlier
Principal_component_analysis
Fundamental problem in computer science
number of distinct paths increases exponentially with the number of conditional statements traversed. In all but the smallest programs, this typically
Path_explosion
Variable representing a random phenomenon
sometimes to construct them, and to define notions such as correlation and dependence or independence based on a joint distribution of two or more random variables
Random_variable
Method of estimating the parameters of a statistical model, given observations
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Maximum_likelihood_estimation
Function related to statistics and probability theory
interpreted within the context of information theory. Bayes factor Conditional entropy Conditional probability Empirical likelihood Likelihood principle Likelihood-ratio
Likelihood_function
Averaged one-dependence estimators (AODE) is a probabilistic classification learning technique. It was developed to address the attribute-independence
Averaged one-dependence estimators
Averaged_one-dependence_estimators
Alteration in the nucleotide sequence of a genome
certain conditions can generate conditional mutations. Dual Recombinase technology can be used to induce multiple conditional mutations to study the diseases
Mutation
Bound on probability of a random variable being far from its mean
^{2}}{k^{2}\sigma ^{2}}}={\frac {1}{k^{2}}}.} It can also be proved directly using conditional expectation: σ 2 = E [ ( X − μ ) 2 ] = E [ ( X − μ ) 2 | k σ ≤ | X −
Chebyshev's_inequality
Test of normality in frequentist statistics
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Shapiro–Wilk_test
Concepts from statistical hypothesis testing
expected ratio of the absolute values of the estimate to the true value, conditional on a significant result being obtained. This is important because using
Type_I_and_type_II_errors
Field of mathematics and science based on non-linear systems and initial conditions
result in large differences in a later state (meaning there is sensitive dependence on initial conditions). A metaphor for this behavior is that a butterfly
Chaos_theory
Mathematical function for the probability a given outcome occurs in an experiment
underlying distribution of the individual variables. Mathematics portal Conditional probability distribution Empirical probability distribution Histogram
Probability_distribution
Bearer of truth values
universal and existential propositions, and between categorical and conditional propositions. Many theories of the nature and roles of propositions have
Proposition
Statistical matching technique
introduced the technique in 1983, defining the propensity score as the conditional probability of a unit (e.g., person, classroom, school) being assigned
Propensity_score_matching
Scientific procedure performed to validate a hypothesis
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Experiment
Class of statistical models
normal, binomial, Poisson and gamma distributions, among others. The conditional mean μ of the distribution depends on the independent variables X through:
Generalized_linear_model
Measure of linear correlation
that while most robust estimators of association measure statistical dependence in some way, they are generally not interpretable on the same scale as
Pearson correlation coefficient
Pearson_correlation_coefficient
CNS stimulant and isomer of amphetamine
for these findings is low and is consequently reflected in the AASM's conditional recommendation for dextroamphetamine as a treatment option for narcolepsy
Dextroamphetamine
Country in West Asia
features a unique labour market system, in which residence in the UAE is conditional on stringent visa rules. This system is a major advantage in terms of
United_Arab_Emirates
The Causal Markov (CM) condition states that, conditional on the set of all its direct causes, a node is independent of all variables which are not effects
Causal_Markov_condition
Interpretation of quantum mechanics
this fact is called the fundamental conditional probability formula). Unlike the universal wavefunction, the conditional wavefunction of a subsystem does
De_Broglie–Bohm_theory
Technique used in processor design
pipelined microprocessors use speculative execution to reduce the cost of conditional branch instructions using schemes that predict the execution path of
Speculative_execution
Statistical distribution for dependence between random variables
uniform on the interval [0, 1]. Copulas are used to describe / model the dependence (inter-correlation) between random variables. Their name, introduced by
Copula_(statistics)
Term in statistical hypothesis testing
\beta } is the probability of making a type II error (a false negative) conditional on there being a true effect or association. Statistical testing uses
Power_(statistics)
Experiment methodology
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
A/B_testing
Type of statistics
representation via scatterplots Quantitative measures of dependence Descriptions of conditional distributions The main reason for differentiating univariate
Descriptive_statistics
Measure of covariance of components of a random vector
{N}}({\boldsymbol {\mu }},\operatorname {\boldsymbol {\Sigma }} ),} then the conditional distribution for Y {\displaystyle \mathbf {Y} } given X {\displaystyle
Covariance_matrix
Techniques to study geometric data
spatial or spatiotemporal dependence in the conditional variance of a process, extending the concept of Autoregressive conditional heteroskedasticity (ARCH)
Spatial_analysis
Verb form focusing on the result of a past event
past perfect. (There are also additional forms such as future perfect, conditional perfect, and so on.) The formation of the perfect in English, using forms
Perfect_(grammar)
Statistical model validation technique
forward-chaining temporal splits to account for both spatial and temporal dependence. A recent review summarises cross-validation strategies for spatiotemporal
Cross-validation_(statistics)
Statistical test
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Z-test
Sampling from a population which can be partitioned into subpopulations
Summary tables Contingency table Frequency distribution Grouped data Dependence Partial correlation Pearson product-moment correlation Rank correlation
Stratified_sampling
Statistical property
heteroscedasticity, which led to his formulation of the autoregressive conditional heteroscedasticity (ARCH) modeling technique. Consider the linear regression
Homoscedasticity and heteroscedasticity
Homoscedasticity_and_heteroscedasticity
travel, tourism, insurance
CONDITIONAL DEPENDENCE
CONDITIONAL DEPENDENCE
Boy/Male
African, Arabic, Australian, Greek, Swahili
Unique; Graceful; Kind; Sweet; The Beautiful Ocean; Loving; Forgiving; Content; Delighted; Beauty; Perfect; State; Handsome; Condition; The Sea
Boy/Male
Tamil
Visravas | விஸராவாஸ
Dependence
Visravas | விஸராவாஸ
Girl/Female
Hindu
Good or Happy condition, Solution
Boy/Male
African, Arabic, Australian, French, Indian, Muslim, Sindhi
Sacrifice; Unconditional Love; Love
Boy/Male
Indian
Can Travel in All Climatic Conditions
Boy/Male
Bengali, Indian
Sleepless; Condition of Being Awake; One who Conquers Sleep
Boy/Male
Arabic
State; Condition
Girl/Female
Hindu
Good or Happy condition, Solution, Fortune
Boy/Male
Arabic, Muslim, Sindhi
Dependence; Confidence; Reliance
Girl/Female
African, American, Australian, British, Celtic, Chinese, Czechoslovakian, Danish, Dutch, English, French, German, Greek, Hawaiian, Hebrew, Italian, Portuguese, Romanian, Spanish, Swedish
Bringer of Good News; Dependence; Hard Working; Industrious; Wealthy
Girl/Female
Tamil
Good or Happy condition, Solution
Girl/Female
Tamil
Good or Happy condition, Solution, Fortune
Girl/Female
Arabic, Muslim
Reliance; Dependence
Girl/Female
Indian
Circumstance, Period of life, Wick, Condition, Degree
Girl/Female
Tamil
Circumstance, Period of life, Wick, Condition, Degree
Boy/Male
Hindu
Dependence
Boy/Male
Tamil
Can travel in all climatic conditions
CONDITIONAL DEPENDENCE
CONDITIONAL DEPENDENCE
CONDITIONAL DEPENDENCE
CONDITIONAL DEPENDENCE
CONDITIONAL DEPENDENCE
CONDITIONAL DEPENDENCE
CONDITIONAL DEPENDENCE
n.
To put under conditions; to require to pass a new examination or to make up a specified study, as a condition of remaining in one's class or in college; as, to condition a student who has failed in some branch of study.
a.
Not conditional limited, or conditioned; made without condition; absolute; unreserved; as, an unconditional surrender.
adv.
Conditionally.
n.
train; acclimate.
n.
A conditional word, mode, or proposition.
n.
To invest with, or limit by, conditions; to burden or qualify by a condition; to impose or be imposed as the condition of.
a.
Having, or known under or by, conditions or relations; not independent; not absolute.
v. t.
Conditional.
a.
Surrounded; circumstanced; in a certain state or condition, as of property or health; as, a well conditioned man.
v. t.
To put under conditions; to render conditional.
a.
Unconditional.
a.
Expressing a condition or supposition; as, a conditional word, mode, or tense.
adv.
In a conditional manner; subject to a condition or conditions; not absolutely or positively.
a.
Containing, implying, or depending on, a condition or conditions; not absolute; made or granted on certain terms; as, a conditional promise.
n.
A limitation.
a.
Of the nature of a proviso; containing a proviso or condition; conditional; as, a provisory clause.
v. i.
To impose upon an object those relations or conditions without which knowledge and thought are alleged to be impossible.
imp. & p. p.
of Condition
v. t.
To qualify by conditions; to regulate.
a.
Not conditioned or subject to conditions; unconditional.
travel, tourism, insurance