Results 51 to 60 of about 102,876 (329)
Stability Analysis of Multi-Sensor Kalman Filtering over Lossy Networks
Sensors, 2016 This paper studies the remote Kalman filtering problem for a distributed system setting with multiple sensors that are located at different physical locations.
Shouwan Gao +3 more
doaj +1 more source
Discrete Time Markov Chains with R
The R Journal, 2017 The markovchain package aims to provide S4 classes and methods to easily handle Discrete Time Markov Chains (DTMCs), filling the gap with what is currently available in the CRAN repository.
G. Spedicato
semanticscholar +1 more source
Simple conditions for metastability of continuous Markov chains [PDF]
Journal of Applied Probability, 2018 A family $\{Q_{\beta}\}_{\beta \geq 0}$ of Markov chains is said to exhibit metastable mixing with modes $S_{\beta}^{(1)},\ldots,S_{\beta}^{(k)}$ if its spectral gap (or some other mixing property) is very close to the worst conductance $\min\!\big(\Phi_{
Oren Mangoubi, N. Pillai, Aaron Smith
semanticscholar +1 more source
A Bayesian Approach to Morphological Models Characterization
Image Analysis and Stereology, 2021 Morphological models are commonly used to describe microstructures observed in heterogeneous materials. Usually, these models depend upon a set of parameters that must be chosen carefully to match experimental observations conducted on the microstructure.
Bruno Figliuzzi +6 more
doaj +1 more source
Combinatorial Markov chains on linear extensions [PDF]
, 2013 We consider generalizations of Schuetzenberger's promotion operator on the set L of linear extensions of a finite poset of size n. This gives rise to a strongly connected graph on L.
A. Björner +33 more
core +2 more sources
BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma
FEBS Open Bio, EarlyView.The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru +6 more
wiley +1 more source
The Research of Markov Chain Application under Two Common Real World Examples
Journal of Physics: Conference Series, 2021 Abstract Markov chain is a random process with Markov characteristics, which exists in the discrete index set and state space in probability theory and mathematical statistics. Based on probability theory, the Markov chain model is a quantitative prediction model for stationary random phenomena using autoregressive process methods.
openaire +1 more source
Unveiling Global Diversity of Patescibacteriota and Functional Interactions with Host Microbes
Advanced Science, EarlyView.Patescibacteriota represents a diverse group of ultra‐small epibiotic bacteria, which is largely overlooked. By integrating ribosomal protein S3‐based community profiling with MAG‐based metabolic potential analyses, this study provides new insights into their distribution, diversity, and potential interactions with other bacteria across diverse ...
Yanhan Ji +12 more
wiley +1 more source
Examples of Convergence and Non-convergence of Markov Chains Conditioned Not To Die
Electronic Journal of Probability, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jacka, Saul, Warren, Jon
openaire +2 more sources
Markov states and chains on the car algebra [PDF]
, 2007 We introduce the notion of Markov states and chains on the Canonical Anticommutation Relations algebra over ℤ, emphasizing some remarkable differences with the infinite tensor product case.
Accardi, L, Fidaleo, F, Mukhamedov, F
core +1 more source