搜索结果: 1-9 共查到“理学 markov models”相关记录9条 . 查询时间(0.072 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...
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...
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 ...
Permutation Complexity and Coupling Measures in Hidden Markov Models
Permutation Complexity Coupling Measures Hidden Markov Models Chaotic Dynamics
2012/4/26
In [Haruna, T. and Nakajima, K., 2011. Physica D 240, 1370-1377], the authors introduced the duality between values (words) and orderings (permutations) as a basis to discuss the relationship between ...
An asymptotic approximation of the marginal likelihood for general Markov models
BIC marginal likelihood singular models tree models Bayesian
2011/1/18
The standard Bayesian Information Criterion (BIC) is derived under regularity conditions which are not always satis ed by the graphical models with hidden variables.
Statistical identification with hidden Markov models of large order splitting strategies in an equity market
Statistical identification hidden Markov models order splitting strategies
2010/4/27
Large trades in a financial market are usually split into smaller parts and traded incrementally over extended periods of time. We address these large trades as hidden orders. In order to identify and...
Time series segmentation with shifting means hidden markov models
Time series segmentation shifting means markov models
2009/11/9
We present a new family of hidden Markov models and apply these to the segmentation of hydrological and environmental time series. The proposed hidden Markov models have a discrete state space and the...
HIDDEN MARKOV MODELS APPLIED IN AGRICULTURAL CROPS CLASSIFICATION
Crop Identification Hidden Markov Models Multitemporal Analysis Object-based Image Analysis
2015/11/16
This work proposes a Hidden Markov Model (HMM) based technique to classify agricultural crops, exploring information of
temporal image sequences from TM and ETM+
/Landsat sensors. It endeavours to ...