PENDUGAAN PARAMETER DAN KEKONVERGENAN PENDUGA PARAMETER MODEL POISSON HIDDEN MARKOV

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hidden Markov Model Parameter Estimation for Multiple Dim Target Detection

This paper presents a modified hidden Markov model (HMM) filtering algorithm for detecting multiple dim targets in image sequence under low SNR condition. The proposed algorithm consists of three steps. As a first step, morphological filtering is applied for extracting features in pre-processing level. The second step is a hidden Markov model filter. To enhance a detecting performance of the fi...

متن کامل

Speech Parameter Sequence Modeling with Latent Trajectory Hidden Markov Model

The weakness of hidden Markov models (HMMs) is that they have difficulty in modeling and capturing the local dynamics of feature sequences due to the piecewise stationarity assumption and the conditional independence assumption on feature sequences. Traditionally, in speech recognition systems, this limitation has been circumvented by appending dynamic (delta and delta-delta) components to the ...

متن کامل

Parameter estimation in pair hidden Markov models

This paper deals with parameter estimation in pair hidden Markov models (pairHMMs). We first provide a rigorous formalism for these models and discuss possible definitions of likelihoods. The model being biologically motivated, some restrictions with respect to the full parameter space naturally occur. Existence of two different Information divergence rates is established and divergence propert...

متن کامل

Information Geometry Approach to Parameter Estimation in Hidden Markov Models

We consider the estimation of hidden Markovian process by using information geometry with respect to transition matrices. We consider the case when we use only the histogram of k-memory data. Firstly, we focus on a partial observation model with Markovian process and we show that the asymptotic estimation error of this model is given as the inverse of projective Fisher information of transition...

متن کامل

Parameter Estimation for Hidden Markov Models with Intractable Likelihoods

Approximate Bayesian computation (ABC) is a popular technique for approximating likelihoods and is often used in parameter estimation when the likelihood functions are analytically intractable. Although the use of ABC is widespread in many fields, there has been little investigation of the theoretical properties of the resulting estimators. In this paper we give a theoretical analysis of the as...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Mathematics and Its Applications

سال: 2016

ISSN: 1412-677X

DOI: 10.29244/jmap.15.1.45-54