Forward and reverse representations for Markov chains [PDF]
In this paper we carry over the concept of reverse probabilistic representations developed in Milstein, Schoenmakers, Spokoiny (2004) for diffusion processes, to discrete time Markov chains. We outline the construction of reverse chains in several situations and apply this to processes which are connected with jump-diffusion models and finite state ...
Vladimir Spokoiny
exaly +9 more sources
Forward-reverse EM algorithm for Markov chains [PDF]
We develop an EM algorithm for estimating parameters that determine the dynamics of a discrete time Markov chain evolving through a certain measurable state space. As a key tool for the construction of the EM method we develop forward-reverse representations for Markov chains conditioned on a certain terminal state.
Bayer, Christian +2 more
core +4 more sources
Forward-reverse EM algorithm for Markov chains: convergence and numerical analysis
We develop a forward-reverse EM (FREM) algorithm for estimating parameters that determine the dynamics of a discrete time Markov chain evolving through a certain measurable state space. As a key tool for the construction of the FREM method we develop forward-reverse representations for Markov chains conditioned on a certain terminal state.
Bayer, Christian +2 more
openaire +2 more sources
Exact Discrete Stochastic Simulation With Deep-Learning-Scale Gradient Optimization. [PDF]
Vilar JMG, Saiz L.
europepmc +1 more source
Convergence Guarantees for Time-Inhomogeneous Uniform-Rate Discrete Diffusion Models. [PDF]
Liang Y, Lai L, Shroff N, Liang Y.
europepmc +1 more source
Mathematical Modelling of the Mitochondrial Dicarboxylate Carrier (SLC25A10). [PDF]
Nashebi R +4 more
europepmc +1 more source
Bayesian cognitive diagnosis optimizes personalized learning paths via mediation of cognitive load and Hidden Markov Model state transitions. [PDF]
Feng Z, Huang K.
europepmc +1 more source
Bayesian model discovery for reverse-engineering biochemical networks from data. [PDF]
Jørgensen ACS +3 more
europepmc +1 more source
Novel fungal species associated with <i>Arundo donax</i> (Poales, Poaceae) in Jiangxi, China. [PDF]
Xiong Y +4 more
europepmc +1 more source
Bayesian Sampling with Approximate Transport Geometry via Residual-Slice Correction. [PDF]
Zhu Y, Hu Q.
europepmc +1 more source

