Results 221 to 230 of about 511,753 (356)

Putting the health in hidden Markov models: incorporating allostatic load indices into movement ecology analyses. [PDF]

Conserv Physiol
Shuert CR, Auger-Méthé M, Béland K, Hussey NE, Desmarchelier MR, Marcoux M.   +5 more
europepmc   +1 more source

Hierarchical hidden Markov structure for dynamic correlations: the hierarchical RSDC model

, 2008
Philippe Charlot, Vêlayoudom Marimoutou
openalex   +1 more source

Time-delay estimation for compound point-processes using hidden Markov models

, 2002
Jens Wohlers, Alfred Mertins, N.J. Fliege   +2 more
openalex   +1 more source

A hidden Markov model addressing measurement errors in the response and replicated covariates for continuous nondecreasing processes [PDF]

, 2019
Lizbeth Naranjo, Carlos J. Pérez, Ruth Fuentes–García, J. Martı́n   +3 more
openalex   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

Dissecting the Complexities of Learning With Infinite Hidden Markov Models

, 2023
Bruijns SA, International Brain Laboratory, Bougrova K, Laranjeira IC, Lau PYP, Lau PYP, Meijer GT, Miska NJ, Noel J, Pan-Vazquez A, Roth N, Socha KZ, Urai AE, Dayan P.   +13 more
europepmc   +1 more source

Pda-Bcjr Algorithm For Factorial Hidden Markov Models With Application To Mimo Equalisation

, 2006
Robert J. Piechocki, Christophe Andrieu, Magnus Sandell, J.P. McGeehan   +3 more
openalex   +2 more sources

An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference [PDF]

, 2018
Vianey Leos‐Barajas, Théo Michelot
openalex   +1 more source

An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang, Anja F. Ernst, Ginette Lafit, Ward B. Eiling, Laura F. Bringmann   +4 more
wiley   +1 more source

Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks [PDF]

, 2018
Farzad Eskandanian, Bamshad Mobasher
openalex   +1 more source