Results 151 to 160 of about 3,741,395 (255)

On a Gibbs sampler based random process in Bayesian nonparametrics [PDF]

We define and investigate a new class of measure-valued Markov chains by resorting to ideas formulated in Bayesian nonparametrics related to the Dirichlet process and the Gibbs sampler.
Stefano Favaro, Stephen G. Walker, Matteo Ruggiero   +2 more
core  

The Generalized Entropy Ergodic Theorem for Nonhomogeneous Bifurcating Markov Chains Indexed by a Binary Tree. [PDF]

J Theor Probab, 2022
Shi Z, Wang Z, Zhong P, Fan Y.
europepmc   +1 more source

Theory and inference for a Markov switching GARCH model [PDF]

We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity
Luc, BAUWENS, Jeroen, ROMBOUTS, Arie, PREMINGER   +2 more
core   +2 more sources

Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networks. [PDF]

NPJ Syst Biol Appl
Park KH, Albert R.
europepmc   +1 more source

Decoding dynamic emotional valence in GenAI interactions: insights from covariate-dependent Markov chains. [PDF]

Front Psychol
Luo YT, Liu T, Pang P, Kan HY.
europepmc   +1 more source

Neural barcoding representing cortical spatiotemporal dynamics based on continuous-time Markov chains. [PDF]

Cell Rep Methods
Culp JM, Ashby DM, George AG, Teskey GC, Nicola W, McGirr A.   +5 more
europepmc   +1 more source

Understanding Markov Chains

Springer Undergraduate Mathematics Series
Nicolas Privault
semanticscholar   +1 more source

Extending dynamic segmentation with lead generation: A latent class Markov analysis of financial product portfolios [PDF]

A recent development in marketing research concerns the incorporation of dynamics in consumer segmentation.This paper extends the latent class Markov model, a suitable technique for conducting dynamic segmentation, in order to facilitate lead generation ...
Vermunt, J.K., Paas, L.J., Bijmolt, T.H.A.   +2 more
core  

Research on online EDI order scheduling optimization strategy in manufacturing enterprises based on time-varying Markov chains. [PDF]

Sci Rep
Wulan Q.
europepmc   +1 more source

Reduced rank multinomial logistic regression in Markov chains with application to cognitive data. [PDF]

Stat Med, 2021
Wang P, Abner EL, Fardo DW, Schmitt FA, Jicha GA, Van Eldik LJ, Kryscio RJ.   +6 more
europepmc   +1 more source