搜索结果: 1-15 共查到“Markov Models”相关记录44条 . 查询时间(0.065 秒)
The effects of zoning methods on forecasting of the next earthquake occurrences, according to semi-Markov models
Semi-Markov model Transition probability matrix Probabilistic forecasting Deterministic forecasting Forecasting error K94 zoning
2015/8/28
Earthquakes are natural phenomena that can be viewed in three dimensions: time, space and magnitude. Earthquakes can be investigated not only physically, but also mathematically. In this study, semi-M...
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
Hidden Markov Models Selected Applications Speech Recognition
2015/1/27
Although initially introduced and studied in the late 1960s and early 1970s, statistical methods ofMarkov source or hidden Markov modeling have become increasingly popular in the last several years. T...
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...
Concepts and a case study for a flexible class of graphical Markov models
Concepts a case study a flexible class graphical Markov models
2013/4/27
With graphical Markov models, one can investigate complex dependences, summarize some results of statistical analyses with graphs and use these graphs to understand implications of well-fitting models...
Marginal Likelihood Computation for Hidden Markov Models via Generalized Two-Filter Smoothing
MarginalLikelihood Sequential MonteCarlo Generalized Two-Filter Smoothing
2012/11/21
In this note we introduce an estimate for the marginal likelihood associated to hidden Markov models (HMMs) using sequential Monte Carlo (SMC) approximations of the generalized two-filter smoothing de...
Nonparametric estimation in hidden Markov models
Nonparametric estimation hidden Markov models
2012/11/22
This paper outlines a new procedure to perform nonparametric estimation in hidden Markov models. It is assumed that a Markov chain (Xk) is observed only through a process (Yk), where Yk is a noisy obs...
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 ...
Parameter and Structure Learning in Nested Markov Models
Parameter Structure Learning in Nested Markov Models
2012/9/19
The constraints arising from DAG mod-els with latent variables can be naturally represented by means of acyclic directed mixed graphs (ADMGs). Such graphs contain directed (!) and bidirected ($) arrow...
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...
Numerical methods for the quadratic hedging problem in Markov models with jumps
Quadratic hedging Hamilton-Jacobi-Bellman equation Markov jump processes Par-tial integro-di erential equation Holder spaces electricity markets discretization schemes for PIDE.
2012/9/14
We develop algorithms for the numerical computation of the quadratic hedging strategy in incomplete markets modeled by pure jump Markov process. Using the Hamilton-Jacobi-Bellman approach, the value f...
Binary hidden Markov models and varieties
Binary hidden Markov models varieties Algebraic Geometry
2012/6/19
The technological applications of hidden Markov models have been extremely diverse and successful, including natural language processing, gesture recognition, gene sequencing, and Kalman filtering of ...