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Everything about Markov kernel
Concept in probability theory
In probability theory, a Markov kernel is a map that in the general theory of Markov processes plays the role that the transition matrix does in the theory of Markov processes with a finite state space. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Markov kernelA 5-minute orientation
- Skim a recent paper: SMC for Discrete-Time Nonlinear Semi-Markovian Switching Systems With Partly Unknown Semi-Markov KernelInfluential work since 2022
- Pick up a classic book: General irreducible Markov chains and non-negative operatorsThe most-reprinted book on the subject
- Read the landmark paper: Dynamic output-feedback control of linear semi-Markov jump systems with incomplete semi-Markov kernelCited 113 times
- Go sideways: Poisson-type random measureA closely related topic
- Go sideways: Giry monadA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Dynamic output-feedback control of linear semi-Markov jump systems with incomplete semi-Markov kernel
Resilient Static Output Feedback Control of Linear Semi-Markov Jump Systems With Incomplete Semi-Markov Kernel
Stability and Stabilization of Discrete-Time Semi-Markov Jump Linear Systems via Semi-Markov Kernel Approach
Stability and Control of Fuzzy Semi-Markov Jump Systems Under Unknown Semi-Markov Kernel
H∞ Stabilization of Discrete-Time Nonlinear Semi-Markov Jump Singularly Perturbed Systems With Partially Known Semi-Markov Kernel Information
Triangular norm-based measures and their Markov kernel representation
Model-Based Fuzzy $l_{2}-l_{\infty }$ Filtering for Discrete-Time Semi-Markov Jump Nonlinear Systems Using Semi-Markov Kernel
Stability analysis of discrete-time semi-Markov jump linear systems with partly unknown semi-Markov kernel
🆕 Influential since 2022
SMC for Discrete-Time Nonlinear Semi-Markovian Switching Systems With Partly Unknown Semi-Markov Kernel
SMC for Discrete Fuzzy Semi-Markov Jump Models With Partly Known Semi-Markov Kernel
A novel fractional nonlinear discrete grey model with kernel-markov adaptation for clean energy forecasting
Total positivity of copulas from a Markov kernel perspective
Passivity-Based Control of Fuzzy Singularly Perturbed Jump Systems Based on Semi-Markov Kernel Approach
📚 Books worth reading
General irreducible Markov chains and non-negative operatorsEsa Nummelin · 1984
General irreducible Markov chainsand non-negative operatorsEsa Nummelin · 1984
Causal Inference from Statistical DataXiaohai Sun · 2008
Comparisons of stochastic matrices, with applications in information theory, statistics, economics, and population sciencesJoel E. Cohen · 1998
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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