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19 votes
5 answers
18k views

Time-inhomogeneous Markov chains

I'm trying to find out what is known about time-inhomogeneous ergodic Markov Chains where the transition matrix can vary over time. All textbooks and lecture notes I could find initially introduce ...
markov-imitator's user avatar
8 votes
1 answer
691 views

Probabilistic proof for derivative of invariant distribution of a Markov chain

Let $P$ be an irreducible Markov matrix, and $\pi$ its stationary distribution. Let $D$ be a perturbation matrix which is zero except for two entries in row $r$: $$D_{rg}=+1 \qquad D_{r\ell}=-1.$$ Let ...
Ben Golub's user avatar
  • 1,068
7 votes
1 answer
391 views

Idempotent splitting for Markov kernels

Let $X$ be a standard Borel space and $e : X \to X$ a Markov kernel. Suppose that $e$ is idempotent, that is $e \circ e = e$, or written out using the Chapman-Kolmogorov equation, $$e(A|x) = \int_X e(...
Tobias Fritz's user avatar
  • 6,406
6 votes
1 answer
218 views

Finding cohesive (low exit probability) sets in a Markov process

The following is a fact about Markov chains that came up in a game theory paper. The purpose of this question is to ask if related notions or similar results are found elsewhere in probability, or are ...
Ben Golub's user avatar
  • 1,068
5 votes
1 answer
199 views

Reference request: When is the variance in the central limit theorem for Markov chains positive?

I'm looking for a reference which gives sufficient conditions for the variance to be positive in the central limit theorem for Markov chains (cf https://en.wikipedia.org/wiki/...
munchhausen's user avatar
4 votes
1 answer
176 views

Random Walk with "Forward Dependency"

Let $\{X_t\}_{t=-\infty}^{\infty}$ be a sequence of random variables. We are interested in a "random walk" (or more generally, a random field) that can be characterized by $$ X_t ~|~ X_{t-k}, \ldots, ...
Minkov's user avatar
  • 1,127
4 votes
2 answers
206 views

Reference on a markov chain / Queue

Im looking for a reference that treats the Markov Chain defined by $$W_i=(W_{i-1}-1)\vee X_i$$ where $X_i\geq 0$ are i.i.d discrete variables. In particular im interested in a reference that treats ...
Conformal's user avatar
  • 315
3 votes
2 answers
436 views

Central limit theorem for weak dependent bernoulli random variables

Suppose $\epsilon_1,\epsilon_2,...$ are i.i.d bounded random variables with compact support. Let $X_k=g_k(\epsilon_k,...,\epsilon_1)$ be Bernoulli random variables with the covariance between $X_i$ ...
joeyg's user avatar
  • 339
3 votes
1 answer
220 views

Carne-Varopoulos bound and stationary measure

Let $\Gamma$ denote the Cayley graph for a finitely generated group $G$, and let $p_n(x, y)$ denote the transition probability that a random walk starting at $x$ reaches $y$ at time $n$. A famous &...
user482846's user avatar
3 votes
1 answer
143 views

Markov chain dichotomy

Suppose $X$ is a complete separable metric space, and there is a continuous map $x \mapsto \mu_x$ associating to each point in $X$ a probability measure on $X$ (where we use the weak topology on the ...
Pablo Lessa's user avatar
  • 4,304
3 votes
0 answers
88 views

Joint drunkard walks

The drunkard walk is a game where two players have $a$ and $b$ dollars, respectively, and they play a series of fair games (both risking one dollar in each game) until one of them goes broke. My ...
A. Pongrácz's user avatar
3 votes
0 answers
106 views

Find the generator of a markov process with constant decay and exponential jumps

Suppose we have a continuous time Markov process $(X_t)_{t\in [0,\infty)}$. This Markov process represents the queue length in amount of work left, therefore its state space is given as $S = [0,\infty)...
HolyMonk's user avatar
  • 277
3 votes
0 answers
144 views

The spring Markov chain on $\mathbb{N}$

I'm trying to understand and learn more about "almost surely bounded" Markov chains on countable state spaces. I'm looking for references where I can learn how to work with more complicated examples ...
Thomas Kahle's user avatar
  • 1,961
2 votes
1 answer
134 views

The reference on Markov chains uncovering the power of the subject in a better way for a working macro-economist

This is by no means a research question. But asking here I hope for the most expert opinion. A friend of mine, who is a working economist, asked me for advice about a book which uncovers wealth and ...
Evgeny Kuznetsov's user avatar
2 votes
1 answer
2k views

Stationary distribution for time-inhomogeneous Markov process

I have a two state, discrete time, time-inhomogeneous Markov process with transition matrix defined by $$T_i=\begin{pmatrix} 1-p_i\alpha & p_i\alpha \\ p_i\beta& 1-p_i\beta \end{pmatrix}$$ ...
c.williams's user avatar
2 votes
0 answers
113 views

Characterizing the relationship between element-wise Markov transitions and the full-conditionals of the stationary distribution

Consider a $p$ dimensional random variable with a discrete support. Consider a Markov transition kernel on the state space that is defined in terms of element-wise transition distributions. One can ...
R Hahn's user avatar
  • 2,791
2 votes
0 answers
37 views

Reference request: semimarkov processes

What are some good modern introductions to the theory of semimarkov processes? To be clear, by a semimarkov processes, I mean a Markov chain, together with "waiting times" between transitions, the ...
Simon Segert's user avatar
2 votes
0 answers
159 views

Distribution of path probabilities for a finite absorbing Markov chain

I am interested in the distribution of path probabilities for a finite absorbing (but otherwise well behaved) Markov chain. Has this topic been considered in the literature? A bit of Googling ...
Steve Huntsman's user avatar
2 votes
0 answers
74 views

Literature/Book on counting processes

I seek literature that makes a rigorous treatment of counting processes. In particular im interested in a precise treatment of the conditional intensity $\lambda_t$ which is often informally defined ...
Conformal's user avatar
  • 315
1 vote
1 answer
306 views

English translation of a Russian paper by Gordin and Lifšic

Unfortunately I can't read Russian, I was wondering if there is an English translation of this paper “The central limit theorem for stationary Markov processes”, Dokl. Akad. Nauk SSSR, 239:4 (1978), ...
Eduardo's user avatar
  • 757
1 vote
1 answer
96 views

Asymptotic behavior of a Markov process on the set of $\{0,1\}$-polynomials

This question is cross-posted from https://math.stackexchange.com/questions/4711799/asymptotic-behavior-of-a-markov-process-on-the-set-of-0-1-polynomials I am trying to study the asymptotic behavior ...
Francesco Bilotta's user avatar
1 vote
1 answer
404 views

Does Irreducibility holds for the Ergodic non-stationary Markov chain?

In the stationary case, I know that if the chain is irreducible and aperiodic, it is Ergodic. But in the non-stationary case, i can not comprehend the content deeply. I want to know if Irreducibility ...
Optimized Life's user avatar
1 vote
1 answer
140 views

Reference request: Cover times, Mixing Times and DGFF applied in statistics?

I am trying to find if in active research in statistics, there is interest in mixing times, cover times of graphs, and/or the discrete Gaussian free field? I haven't found anything so far for the ...
noitseuq's user avatar
1 vote
1 answer
99 views

Asymptotic variance for averages of trajectory functionals of Markov chain

I am looking for references on theory for convergence rates of ergodic averages of a Markov chain in the more general setting where the functional is over multiple states or even a whole trajectory, ...
itchidese's user avatar
1 vote
1 answer
65 views

Transition of probability in duality and its properties

Let $(E,\mathscr{E})$ be a measurable space. Two transition of probabilities $p, q\colon E\times\mathscr{E}\to [0,1]$ are said to be in duality relative to a probability measure $m$ if for every ...
Didi's user avatar
  • 95
1 vote
1 answer
170 views

Comprehensive reference for lumped or projected markov chains

Consider a Markov chain $X_n$ taking values in finite countable set $\mathcal{X}$ with transition matrix $P$. Consider a function $f:\mathcal{X}\to\mathcal{Y}$ inducing a partition $\mathcal{Y}=\{\...
Three Diag's user avatar
1 vote
0 answers
114 views

An urn model with weighted objects and replacement

Consider the following game: In an urn, there are $K$ balls, $x_0$ of them are blue and light (mass $m_0$), $x_1$ are blue and heavy ($m_1$), $x_2$ are red and light ($m_2$), the rest $x_3$ are red ...
PontyMython's user avatar
1 vote
0 answers
332 views

Markov chains with drift

We consider a Markov process $X$ on a finite set $\mathcal{X} (\neq \emptyset)$. Basically, $X$ is associated with a generator of the following form \begin{align*} Af(x)=\lambda(x)\sum_{ y\in \mathcal{...
sharpe's user avatar
  • 721
1 vote
0 answers
120 views

Existence of Time-Reversed Markov Kernels

Suppose I have a probability measure $\pi$ and a Markov kernel $q$ which leaves $\pi$ invariant, in the sense that \begin{align} \int_x \pi(dx) q(x \to dy) = \pi(dy) \end{align} Then, a (the) time-...
πr8's user avatar
  • 801
0 votes
2 answers
804 views

Convergence of stationary distributions of a sequence of Markov Chains

I fairly new in the field of Stochastic Processes and Markov Chains so excuse my ignorance. My question is: If we have a sequence of Markov chains such that each one has a stationary distribution $\pi^...
dimoik's user avatar
  • 13
0 votes
1 answer
2k views

Stationary distribution in general Markov Chains

This is just a reference request for a result which is very general, useful and should be well-known, but I've failed to find a good reference to cite. The problem is to define the "most natural" ...
Denis's user avatar
  • 1,341
0 votes
2 answers
128 views

Markov with epsilon memory and Quantitative Strong Markov property

We have a process $\{X_{t}\}_{t\geq 0}$ ,with fixed parameter $\epsilon>0$, starting from zero that satisfies The process is strictly monotone $X_{t+r}-X_{t}>0$ with moments existing $p\in(-\...
Thomas Kojar's user avatar
  • 5,474
0 votes
0 answers
92 views

MDP Average Reward independent of Initial State

Consider a Markov Decision Process where the state space $S$ and the action space $A$ are continuous and compact. In state $s$, if action $a$ is chosen and the next state becomes $s'$, the ...
Euclid's user avatar
  • 115
0 votes
0 answers
161 views

Markov process with time varying transition kernels

I cross post this question from StackExchange as it may be more appropriate. I am interested in studying the evolution of a variable $\alpha_t\in [0,1]$ governed by the following stochastic dynamical ...
Francesco Bilotta's user avatar
0 votes
0 answers
72 views

Invariant measures for a renewal process driven by Interarrival times bounded away from zero

Good morning, I apologize in advance if my question sounds too basic but after some research I was unable to come up with satisfactory answers to my doubts. I am currently studying a model which ...
guido giuliani's user avatar