Top PDF La Relación de la Familia con el Centro Educativo y su Incidencia en el Rendimiento Académico de los Estudiantes del Octavo Año De Educación Básica de la Unidad Educativa a Distancia del Azuay “Extensión Osoyacu” de la Ciudad de Cuenca en el Cantón Sevill
State space exploration in Markov Models
... (For a definition of many performability measures and solution techniques, we refer the reader to [14].) We first consider transient measures. This assumptiol1 is rea[r] ...
On state-space reduction in multi-strain pathogen models, with an application to antigenic drift in influenza A.
... season. In a slightly more general setting, several strains can coexist within an epidemic season ...heterogeneity in the transmission coefficients of strains. This is indeed as expected in reality, ...
Learning finite state machine models of evolving systems: From evolution over time to variability in space
... traditional in other established branches of ...operate in the real world or address problems or activities from it ( LEHMAN , 1979 ...changes in the real world shall affect software that will also ...
Markov-switching models : empirical applications using classical and Bayesian inference
... mean-reversion in the Bitcoin returns is not currently explored in the literature (notable exceptions include: Corbet and Katsiampa, ...analysis in two dif- ferent ...returns. In contrast, we ...
Optimal space-time coverage and exploration costs in groundwater monitoring networks
... addressed in this ...the exploration costs are included in the objective ...introduced in early works by Delhomme (1978), who used the so-called fictitious point method (generally used to ...
State-space analysis of soil data: an approach based on space-varying regresion models. - Portal Embrapa
... (using Markov Chain Monte Carlo – MCMC algorithms) as in the PRVWIN software, or other ...for in- stance, Shumway & Stoffer (2000), and for the Bayesian approach see, for instance, West & ...
Hidden Markov models for credit risk
... presented in this dissertation assumes that default events are directly connected to risk state variables, starting from a very simple model that assumes defaults to follow a two-state Binomial ...
The U.S. and European M&A cycles: a Markov switching and state space approach
... both in the ...(E.U.), in order to assess if, for instance, there was actually a shift in the European merger activity with the introduction of the Euro, if the merger cycles in Europe are ...
Mapping dynamic environments using Markov random field models
... 5. In Figure 5(a), the observed free space is estimated with low 𝑎00 and the walls always stay occupied and have high 𝑎 00 ...high. In Figure 5(b), the free space always stays free and has ...
Effective identification of conserved pathways in biological networks using hidden Markov models.
... paths in the target ...predictions in [18], which is the direct consequence of the mathematical optimality of both ...pathway in the ...reported in the KEGG database [29]. In fact, the ...
Quantitative design space exploration of routing-switches for Network-on-Chip
... distinguished in static and adaptive routing-algorithms, as depicted in ...routing. In a NoC with mesh topology, as depicted in ...routed in X-direction and afterwards in ...
Hidden Markov Models and the Baum-Welch Algor.
... lecturer. In this talk I decided to restrict the subject to the Baum-Welch “algo- rithm” and some of the ideas that led to its ...with Markov chains and Markov processes. They are natural ...
Valuing Capacity Investment Decisions: Binomial vs. Markov Models
... A Markov chain is defined by a one step transition probability matrix and can be obtained from the problem data as ...reaching state j at some period of time being in state i at the previous ...
Comparing two models for disease mapping data not varying systematically in space
... Gaussian Markov random field (GMRF) models with adjacency- based neighborhood weight matrix, commonly known as neighborhood-based GMRF models, have been the mainstream approach to spatial smoothing ...
Neural network and state-space models for studying relationships among soil properties. - Portal Embrapa
... the models with latent variables, the standard state-space model (linear and local charac- teristics), independent of the statistical measure con- sidered, presented the best prediction performance ...
A METHODOLOGY FOR DESIGN SPACE EXPLORATION OF REAL-TIME LOCATION SYSTEMS
... design space exploration solution for wireless sensor networks with particular emphasis on energy-aware ...components in this framework ...hardware models like RFID tags or Bluetooth ...
Abstract models of NoC-based MPSoCs for design space exploration
... generation. In this step two NoC models (with the same configuration) are generated: HERMES (RTL description) and an actor-oriented model (XML description of RENATO or ...described in [TED05], one ...
Exploration, design and analysis of social spaces for social simulation models
... the state-of-the-art by providing a model of context segregation (Nunes and Antunes, 2012a) based on previous work on context switching (Antunes et ...role in dissemination phenomena in structured ...
A spectrum of MPSoC models for design space exploration and its use
... software on a given TLM model. The techniques are classified in three main groups: instruction-accurate interpretation (the slowest), dynamic binary translation and native code execution (the fastest). The faster ...
Credit risk modelling using multi-state markov models
... multi-state Markov model. Not only are there few references in existing literature regarding the applicability of this model in the financial sector, but also it can be considered that this ...