Search results for "cmc"
showing 10 items of 52 documents
Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo
2020
We consider importance sampling (IS) type weighted estimators based on Markov chain Monte Carlo (MCMC) targeting an approximate marginal of the target distribution. In the context of Bayesian latent variable models, the MCMC typically operates on the hyperparameters, and the subsequent weighting may be based on IS or sequential Monte Carlo (SMC), but allows for multilevel techniques as well. The IS approach provides a natural alternative to delayed acceptance (DA) pseudo-marginal/particle MCMC, and has many advantages over DA, including a straightforward parallelisation and additional flexibility in MCMC implementation. We detail minimal conditions which ensure strong consistency of the sug…
Yliopistotutkintojen määrän ennustaminen Bayes-mallilla
2017
Tämän tutkielman tarkoituksena on kehittää prediktiivinen malli, jolla ennustetaan Jyväskylän yliopiston matemaattis-luonnontieteellisessä tiedekunnassa lähivuosina suoritettavien luonnontieteiden kandidaatin ja filosofian maisterin tutkintojen lukumääriä. Mallin estimointiin käytettävä aineisto koostuu kolmesta osasta: vuosina 1996–2004 tiedekunnassa aloittaneet opiskelijat, vuosina 2005–2015 tiedekunnassa alemmasta korkeakoulututkinnosta aloittaneet opiskelijat ja vuosina 2005–2016 tiedekunnassa ylemmästä korkeakoulututkinnosta aloittaneet opiskelijat. Jokaiselle aineiston osalle sovitetaan omat toisistaan riippumattomat osamallit. Tutkintoennusteet saadaan ennustamalla aineistoon kuuluvi…
ZrTiO4 materials obtained by spark plasma reaction-sintering
2014
Zirconium titanate (ZrTiO4), have many attractive properties such as high resistivity, high dielectric constant, high permittivity at microwave frequencies and excellent temperature stability for microwave properties. Zirconium titanate dense materials are proposed for many structural applications, but fully reacted and completely dense pieces are difficult to obtain by conventional routes. In this work, fully dense zirconium titanate materials (∼98%) were obtained at lower temperatures (1300-1400 C) and short processing time by non-conventional technique; spark plasma-reaction sintering (SPRS). Homogeneous and stable starting powders mixture with the adequate composition was prepared from …
GALACTOSE-DECORATED POLYMERIC CARRIERS FOR HEPATOCYTE-SELECTIVE DRUG TARGETING
2015
In this paper, the current available strategies to realize galactose-decorated nanostructured polymeric systems are summarized. These carriers are designed in order to obtain targeted drug delivery to hepatocytes via galactose (GAL) moieties, i.e., for the treatment of viral hepatitis or liver cancer that are the greater causes of global disability and mortality. Usually, the main followed strategy to obtain galactosylated polymeric carriers is to use galactosylated copolymers. The chemical modifications of preformed polymers with sugar-containing reagents is followed for obtaining lactosaminated human albumin, galactosylated phospholipid-polyaminoacid and polylactide (PLA)- polyaminoacid c…
Spatial Bayesian Modeling of Presence-only Data
2011
An Evaluation of HCI and CMC in Information Systems within Highly Crowded Large Events
2013
Pervasive systems are composed of a large variety of networked smart devices that supposedly enrich the environment they are deployed in. The access to services provided by a pervasive system should be as natural and “unconscious” as possible. In a large number of cases, the available interaction modality seems to be more oriented towards showing off technological wonders rather than to the actual usability of the interface. In this paper we evaluate and compare two different versions of an information provision system deployed in two editions of a large fair. In particular, we will focus on the Human-Computer Interaction (HCI) and Computer-Mediated-Communication (CMC) points of view. The a…
Particle Group Metropolis Methods for Tracking the Leaf Area Index
2020
Monte Carlo (MC) algorithms are widely used for Bayesian inference in statistics, signal processing, and machine learning. In this work, we introduce an Markov Chain Monte Carlo (MCMC) technique driven by a particle filter. The resulting scheme is a generalization of the so-called Particle Metropolis-Hastings (PMH) method, where a suitable Markov chain of sets of weighted samples is generated. We also introduce a marginal version for the goal of jointly inferring dynamic and static variables. The proposed algorithms outperform the corresponding standard PMH schemes, as shown by numerical experiments.
Bayesian hierarchical models in manufacturing bulk service queues
2006
In this paper, Queueing Theory and Bayesian statistical tools are used to analyze the congestion of various manufacturing bulk service queues with the same characteristics that are working independently of one another and in equilibrium. Hierarchical models are discussed in order to develop the whole inferential process for the parameters governing the system. Markov Chain Monte Carlo methods and numerical inversion of transforms are addressed to compute the posterior predictive distributions of the usual measures of performance in practice.
Contributed discussion on article by Pratola
2016
The author should be commended for his outstanding contribution to the literature on Bayesian regression tree models. The author introduces three innovative sampling approaches which allow for efficient traversal of the model space. In this response, we add a fourth alternative.
Flexible Bayesian survival models with application in biometric studies
2018
El análisis de supervivencia es una metodología estadística diseñada para analizar datos procedentes de estudios científicos relativos a tiempos de ocurrencia de uno o varios eventos de interés. La duración de estos tiempos suele conocerse como tiempos de supervivencia debido a los particulares orígenes de esta metodología en contextos exclusivamente médicos y demográficos. Durante las últimas décadas, la literatura científica en este campo ha sido muy prolífica y su aplicación se ha extendido a múltiples áreas de conocimiento. Los procedimientos estadísticos propios de esta metodología empezaron a abordarse desde el marco inferencial frecuentista. Sin embargo, en los últimos años la utiliz…