搜索结果: 1-14 共查到“统计学 Hidden Markov models”相关记录14条 . 查询时间(0.083 秒)
Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models
LDHMMs sequential data variational inference variational EM behavior modeling sequence classification
2013/6/14
This paper proposes a generative model, the latent Dirichlet hidden Markov models (LDHMM), for characterizing a database of sequential behaviors (sequences). LDHMMs posit that each sequence is generat...
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
Hierarchically-coupled hidden Markov models learning kinetic rates single-molecule data
2013/6/14
We address the problem of analyzing sets of noisy time-varying signals that all report on the same process but confound straightforward analyses due to complex inter-signal heterogeneities and measure...
Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models
Modeling Waveform Shapes Random Eects Segmental Hidden Markov Models
2012/9/19
In this paper we describe a general probabilis-tic framework for modeling waveforms such as heartbeats from ECGdata. The model is based on segmental hidden Markov mod-els(as usedin speechrecognition) ...
Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models
Modeling Waveform Shapes Random Eects Segmental Hidden Markov Models
2012/9/19
In this paper we describe a general probabilis-tic framework for modeling waveforms such as heartbeats from ECGdata. The model is based on segmental hidden Markov mod-els(as usedin speechrecognition) ...
Penalized estimation in high-dimensional hidden Markov models with state-specific graphical models
HMM Graphical Lasso Universal Regularization Model Selection MMDL Greedy Backwards Pruning Genome Biology Chromatin Modeling
2012/9/17
We consider penalized estimation in hidden Markov models (HMMs) with multi-variate Normal observations. In the moderate-to-large dimensional setting, estimation for HMMs remains challenging in practic...
Hidden Markov Models for the Activity Profile of Terrorist Groups
hidden Markov model self-exciting, terrorism terroristgroups Colombia Peru,point process changepoint detection
2012/9/19
The main focus of this work is on developing models for the ac-tivity profile of a terrorist group, detecting sudden spurtsand down-falls in this profile, and in general, tracking it over a period of ...
About the posterior distribution in hidden Markov Models with unknown number of states
Hidden Markov models number of components order selection Bayesian statistics posterior distribution
2012/9/19
In this paper, we investigate the asymptotic behaviour of the posterior distribution in hidden Markov models (HMMs) when using Bayesian methodology. We obtain a general asymptotic result, and give con...
Restricted Collapsed Draw: Accurate Sampling for Hierarchical Chinese Restaurant Process Hidden Markov Models
Restricted Collapsed Draw Accurate Sampling Hierarchical Chinese
2011/7/5
We propose a restricted collapsed draw (RCD) sampler, a general Markov chain Monte Carlo sampler of simultaneous draws from a hierarchical Chinese restaurant process (HCRP) with restriction.
Hidden Markov models for alcoholism treatment trial data
Hidden Markov models alcoholism clinical trial
2010/10/19
In a clinical trial of a treatment for alcoholism, a common response variable of interest is the number of alcoholic drinks consumed by each subject each day, or an ordinal version of this response, ...
EM versus Markov chain Monte Carlo for estimation of hidden Markov models: a computational perspective
hidden Markov model incomplete data missing data EM trans-dimensional Monte Carlo computational statistics
2009/9/22
Hidden Markov models (HMMs) and related models have become stan-
dard in statistics during the last 15C2 years, with applications in diverse areas
like speech and other statistical signal processing...
Maximum Likelihood Estimator for Hidden Markov Models in continuous time
Maximum Likelihood Estimator continuous time Hidden Markov Models partial observations filtering
2010/4/30
The paper studies large sample asymptotic properties of the
Maximum Likelihood Estimator (MLE) for the parameter of a continuous
time Markov chain, observed in white noise. Using the method of
weak...
We will outline novel approaches to derive model invariants for
hidden Markov and related models. These approaches are based on
a theoretical framework that arises from viewing random processes as
...
Distributions associated with general runs and patterns in hidden Markov models
Competing patterns CpG islands finite Markov chain imbedding generalized later patterns higher-order hidden Markov models
2010/4/29
This paper gives a method for computing distributions associated
with patterns in the state sequence of a hidden Markov model, conditional
on observing all or part of the observation sequence. Proba...
Forgetting of the initial distribution for Hidden Markov Models
Nonlinear filtering Hidden Markov Models asymptotic stability totalvariation norm
2010/4/27
The forgetting of the initial distribution for discrete Hidden Markov Models (HMM)
is addressed: a new set of conditions is proposed, to establish the forgetting property
of the filter, at a polynom...