Results 61 to 70 of about 152,408 (254)
This paper analyzes a finite-capacity Markovian queueing system with two customer types, each assigned to a separate buffer, and a single alternating server whose service priority is dynamically controlled by a queue-length-based threshold policy.
Doo Il Choi, Dae-Eun Lim
doaj +1 more source
Full cyclic coordinate descent: solving the protein loop closure problem in C
Background Various forms of the so-called loop closure problem are crucial to protein structure prediction methods. Given an N- and a C-terminal end, the problem consists of finding a suitable segment of a certain length that bridges the ends seamlessly.
Hamelryck Thomas, Boomsma Wouter
doaj +1 more source
Localizing the latent structure canonical uncertainty: Entropy profiles for hidden Markov models [PDF]
Ce rapport concerne l'inférence sur les états de modèles de Markov cachés. Ces modèles se fondent sur des états non observés, qui ont en général une interprétation, dans le contexte d'une application donnée. Ceci rend nécessaire la conception d'outils de
Durand, Jean-Baptiste, Guédon, Yann
core
Variance and Covariance of Several Simultaneous Outputs of a Markov Chain
The partial sum of the states of a Markov chain or more generally a Markov source is asymptotically normally distributed under suitable conditions. One of these conditions is that the variance is unbounded.
Kropf, Sara
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Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Intersubtype recombinants classified as circulating recombinant forms (CRFs) or unique recombinant forms (URFs) have been shown to play an important role in the complex and dynamic Brazilian HIV/AIDS epidemic.
Mônica N. G. Reis +3 more
doaj +1 more source
Parametrized Stochastic Grammars for RNA Secondary Structure Prediction
We propose a two-level stochastic context-free grammar (SCFG) architecture for parametrized stochastic modeling of a family of RNA sequences, including their secondary structure.
Maier, Robert S.
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Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Concepts and a case study for a flexible class of graphical Markov models
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. The models have a rich history and form an area that
Cox, D. R., Wermuth, Nanny
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A goodness‐of‐fit test for regression models with discrete outcomes
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source

