# Haut PDF Adaptive estimation for bifurcating Markov chains

### Adaptive estimation for bifurcating Markov chains

**for**

**bifurcating**

**Markov**

**chains**(BMC) under a geometric ergodicity assumption, completing former results of Guyon and Bitseki Penda, Djellout and ...thresholding

**estimation**...

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### Adaptive estimation for bifurcating Markov chains

**Bifurcating**

**Markov**

**chains**.

**Bifurcating**

**Markov**

**Chains**(BMC) are

**Markov**

**chains**in- dexed by a tree (Athreya and Kang [ 1 ], Benjamini and Peres [ 6 ], Takacs [ ...

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### Deviation inequalities, Moderate deviations and some limit theorems for bifurcating Markov chains with application.

**for**the

**bifurcating**

**Markov**

**chains**...(MDP)

**for**a functional of the BMC with a restricted range of speed, but with a function which can be ...inequalities

**for**the BMC ...

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### A central limit theorem for adaptive and interacting Markov chains

**for**

**adaptive**and interacting

**Markov**

**Chains**have been considered in several recent pa- pers: see Fort et ...functionals

**for**a special class of

**adaptive**MCMC algorithms ...

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### Hastings-Metropolis algorithm on Markov chains for small-probability estimation

**Markov**chain, instead of that of a random vector in more classical ...methods,

**for**estimating small probabilities involving random vectors, to these neutron-transport ...method

**for**...

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### Transportation cost-information and concentration inequalities for bifurcating Markov chains

**for**

**bifurcating**

**Markov**

**chains**which are a class of processes indexed by binary ...models

**for**cell growth when each individual in one generation gives birth to two ...

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### Fully spatially adaptive smoothing parameter estimation for Markov random field super-resolution mapping of remotely sensed images

**for**their first-order Markovian energy by employing the Maximum Pseudo-Likelihood

**Estimation**(MPLE) ...estimated

**for**one of the cliques utilizing a high-spatial-resolution ground-reference ...

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### Deviation inequalities for bifurcating Markov chains on Galton-Watson tree

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### Exact Bayesian estimation in constrained Triplet Markov Chains

**Markov**state-space system (JMSS) is a well known model

**for**representing dynamical models with ...Triplet

**Markov**Chain (TMC) model which is close to the given JMSS model, and in which moments of ...

7

### Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of Markov Chains

**Markov**chain, as a consequence of natural invariance properties of CB-SARS (essentially scale-invariance and invariance to strictly increasing transformation of the objective ...conditions

**for**...

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### Bootstrap and uniform bounds for Harris Markov chains

**for**multivariate probability distributions (see also [120]) and oﬀers a non-parametric framework

**for**(unsupervised) anomaly/novelty ...-set

**estimation**can be cast in a learning framework ...

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### Adaptive estimation of the transition density of a Markov chain

**for**the transition density π of an homogeneous

**Markov**chain is ...is

**adaptive**with an optimal rate of convergence over a large range of anisotropic Besov spaces B 2,∞ (α1,α2) ...

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### Autoregressive Functions Estimation in Nonlinear Bifurcating Autoregressive Models

**for**un- known parameters have been ...parameters

**for**type 0 or type 1 cells can differ. Introducing the

**bifurcating**

**Markov**chain theory, Guyon studies the asymptotic behaviour of ...

30

### General pairwise Markov chains for unsupervised image segmentation

**for**a particular subclass of ...framework

**for**image segmentation with ...parameter

**estimation**procedure which aims at taking into account that H k is ...

6

### Learning Multiple Markov Chains via Adaptive Allocation

**for**the

**estimation**of reward distributions in MABs as introduced in [1, 7], and further studied in [2, ...sampling

**for**Monte-Carlo methods in [10, 8], or to continuous mean functions in, ...

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### Global PAC Bounds for Learning Discrete Time Markov Chains

**estimation**works by observing a long run of the system and estimating each in- dividual transition by its empirical ...generates

**estimation**biases, all these methods converge asymptotic- ally to the exact ...

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### Hidden hybrid Markov/semi-Markov chains.

**Markov**mod- els, one can either consider a semi-Markovian framework where the occupancy distri- butions of some non-absorbing states are constrained to be geometric or a

**Markov**- ian framework where ...

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### Subgeometric rates of convergence in Wasserstein distance for Markov chains

**for**general state-space

**Markov**

**chains**which are (possibly) not ...cases,

**Markov**

**chains**might not converge in total variation distance, but nevertheless may converge in a ...

25

### New Bernstein and Hoeffding type inequalities for regenerative Markov chains

**for**processes indexed by class of functions, it is important to assess the complexity of ...

26

### Large Deviation Principle for Markov Chains in Discrete Time

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