Bayes-Modelle & Regression

97 Methoden in dieser Familie.

Ausgewählt

Aktives Lernen mit Gauß-ProzessenActive Learning Gaussian Process (GP-AL) combines a Gaussian process probabilistic model with an active learning query strategy, using the GP's posterior uncertainty to select the Bayesian Autoregressive (AR) ModellThe Bayesian AR model estimates an autoregressive time-series process by combining a likelihood derived from the AR structure with prior distributions over the lag coefficients and Bayesian Betweenness CentralityBayesian Betweenness Centrality estimates how often a node lies on shortest paths in a network while explicitly quantifying uncertainty arising from incomplete, sampled, or noisy e Bayesian Bootstrap (Rubin)The Bayesian Bootstrap, introduced by Donald B. Rubin in 1981, is a resampling method that produces a Bayesian counterpart to the frequentist bootstrap by assigning each observatio Bayesian Case-Control StudyA Bayesian case-control study applies Bayesian statistical inference to the classic case-control epidemiological design, formally combining prior knowledge about exposure-disease a Bayes'sche GemeinschaftserkennungBayesian community detection infers latent group structure in networks by treating community membership as unobserved variables and using Bayesian inference — typically via Markov

Reading path

This topic's most-referenced foundational methods, in the order they were developed — a place to start if you're new here.

Hierarchische Bayes'sche Inferenz1972 (Lindley & Smith); consolidated 1995–2013by Lindley & Smith; Gelman et al.
Bayesian Gaussian Process1978–2006by O'Hagan, A.; Neal, R. M.; Rasmussen, C. E. & Williams, C. K. I.
Bayesianisches VAR-Modell (BVAR)1984by Doan, Litterman & Sims
Bayes'sche Netzwerke1988by Judea Pearl
Bayesian Generalisiertes Lineares Modell1989 (GLM); 1995 (Bayesian BDA)by McCullagh & Nelder (GLM framework); Bayesian treatment formalized by Gelman et al.
Dynamisches Bayes'sches Netz1989by Thomas Dean & Keiji Kanazawa
Bayessches hierarchisches Modell2006by Gelman & Hill (2006); Bayesian multilevel tradition
Bayes'sche Regression

all methods on this shelf ↓

Alle Methoden 97

Aktives Lernen mit Gauß-Prozessen Bayesian Autoregressive (AR) Modell Bayesian Betweenness Centrality Bayesian Bootstrap (Rubin)Bayesian Case-Control Study Bayes'sche Gemeinschaftserkennung Bayesianische Conjoint-Analyse Bayesian Cox-Proportional-Hazards Bayes'sche Cox-Regression Bayesianische ökologische Studie Bayesianische Ego-Netzwerkanalyse Bayesian Exponential Random Graph Model Bayes'sche Fehlerbaumanalyse Bayesian Federated Learning Bayesian Fuzzy Regression Discontinuity Bayesian Gaussian Process Bayesian Generalisiert Additives Modell (Bayesian GAM)Bayesian Generalisiertes Lineares Modell Bayesian Geographically Weighted Regression (BGWR)Bayesian Hierarchical Clustering (BHC)Bayesianisches Hierarchisches Lineares Modell Bayessches hierarchisches Modell Bayesian Hierarchical Model with Missing Data Bayesianisches K-Means-Clustering Bayesianische Kaplan-Meier-Analyse Bayesian Kernel Density Estimation Bayesianische Analyse von Wissensgraphen Bayesian LASSO-Regression Bayesianische Latente Klassenanalyse (BLCA)Bayes'sche Lineare Regression Bayesian Logistic Regression Bayesianer Mann-Whitney-U-Test Bayesian Matching Estimator Bayesian Microbiome Diversity Analysis Bayesian Mixed Effects Model Bayes'sche Mischungsmodellierung Bayesian Moderation Analysis Bayes'sche multinomiale logistische Regression Bayesian Multiple Linear Regression Bayesian Multiplex Network Analysis Bayesian Multiskalen Geographically Weighted Regression Bayesian Naive Bayes Bayesian Negative Binomial Regression Bayes'sche Netzwerke Bayesianische Netzwerkausbreitungsanalyse Bayesian-Netzwerk mit Messfehlern Bayessche nichtparametrische Methoden Bayesian OLS (Bayesian Ordinary Least Squares Regression)Bayessche ordinale logistische Regression Bayesian PageRank Bayesianische Paneldatenanalyse Bayesian Poisson-Regression Bayesian Phillips-Perron-Einheitswurzeltest Bayesian Quantile Regression Bayesian Quantile-on-Quantile Regression Bayesian Random Effects Model Bayes'sche Regression Bayesianische Regressions-Diskontinuitäts-Analyse Bayesian Ridge Regression Bayesian Robust Regression Bayesian Root Cause Analysis Bayesianische einfache lineare Regression Bayesian Social Network Analysis Bayesian Spatial Error Model (Bayesian SEM)Bayesianisches räumliches Panel-Modell Bayesian räumliche Regression Bayesianer Stochastisches Blockmodell Bayes'sche Überlebensregression Bayesian Structural VAR (B-SVAR) Modell Bayesianische Netzwerkanalyse über die Zeit Bayesian Tobit-Modell Bayesianische Analyse von Zweimodus-Netzwerken Bayesian Vector Autoregression (BVAR)Bayesianisches VAR-Modell (BVAR)Bayes'scher Wilcoxon-Vorzeichen-Rang-Test Bayesian Weighted Least Squares (Bayesian WLS)Bayesianisches Zero-Inflated Modell Dirichlet-Prozess-Mischmodell Dynamisches Bayes'sches Hierarchisches Modell Dynamisches Bayes'sches Netz Dynamische Kausalmodellierung Empirische Bayes-Schätzung Hierarchische Approximate Bayesian Computation Hierarchische Bayes'sche Inferenz Hierarchische Bayes'sche Modellmittelung Hierarchisches Bayes'sches Netz Hierarchische Bootstrap-Simulation Hierarchischer Kalman-Filter Hierarchische Variationsinferenz Multilevel Approximate Bayesian Computation Mehrstufige Bayes'sche Inferenz Multilevel Bayes'sche Modellmittelung Multilevel-Bayes'sches Netz Multilevel-Bootstrap-Simulation Multilevel Variational Inference Robuste Bayes'sche Netze Bayesian Hierarchicales Zeitreihenmodell

Mehr in Bayes-Statistik

Bayes-Inferenz & Priors 215 MCMC & Sampling 48