A Markov random field model-based approach for differentially expressed gene detection from single-cell RNA-seq data. [PDF]
Brief Bioinform, 2022 Zhu B +4 more
europepmc +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Land cover classification combining Sentinel-1 and Landsat 8 imagery driven by Markov random field with amendment reliability factors [PDF]
, 2020 Xiaofei Shi +3 more
openalex +1 more source
IET Computer Vision, 2017 This study addresses the problem of recovering the three‐dimensional depth data from the images taken by a light‐field camera. Unlike the conventional approach to extract the depth information from the spatial and the angular gradients in the epipolar ...
Wei‐Yu Lee +2 more
doaj +1 more source
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Canadian Journal of Statistics, EarlyView.Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Cell Heterogeneity Analysis in Single-Cell RNA-seq Data Using Mixture Exponential Graph and Markov Random Field Model. [PDF]
Biomed Res Int, 2021 Wang Y, Tian X, Ai D.
europepmc +1 more source
Hierarchical equilibria of branching populations [PDF]
The objective of this paper is the study of the equilibrium behavior of a population on the hierarchical group (Omega)N consisting of families of individuals undergoing critical branching random walk and in addition these families also develop according ...
A. Wakolbinger +2 more
core
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
Communications on Pure and Applied Mathematics, EarlyView.ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
LatticeKrig: Multi-Resolution Kriging Based on Markov Random Fields [PDF]
, 2011 Douglas Nychka +6 more
openalex +1 more source