42,556 Result(s)

Article

Diverse reports recommendation system based on latent Dirichlet allocation

This paper presents a proposal for system supporting learners in improving their report-writing skills by recommending reports from previous learners. The proposed system recommends reports that share similar ...

Masaki Uto, Sébastien Louvigné, Yoshihiro Kato, Takatoshi Ishii… in Behaviormetrika (2017)

Article

Some Contributions of Statistical Studies on Decision Support Tools for Waste Management: A Review

Waste is one of the most pressing problem faced by the whole world. Waste management is increasingly becoming a challenging task for the respective authorities, due to increasing waste quantities, changing was...

Kishor N. Chinchodkar, Omprakash S. Jadhav… in Journal of the Indian Society for Probabil… (2017)

Article

At the roots of Gini’s transvariation: extracts from “Il concetto di transvariazione e le sue prime applicazioni”

The paper provides the formulations of the concept of “Transvariation” as Gini originally conceived in his work published in Italian in 1916 and entitled “Il concetto di transvariazione e le sue prime applicaz...

Maria Grazia Pittau, Roberto Zelli in METRON (2017)

Article

Construction of Two Level Super-saturated Designs Using PBIBDs

Experimenter has to minimize the number of design points in a design by identifying the effects of active factor combinations for efficient utilization of resources. Super-saturated design is a factorial desig...

Ameen Saheb Shaik… in Journal of the Indian Society for Probabil… (2017)

Article

Foreword

Jacques Silber in METRON (2017)

Article

Discussion of “Nonparametric Bayesian Inference in Applications”: Bayesian nonparametric methods in econometrics

The use of Bayesian nonparametrics models has increased rapidly over the last few decades driven by increasing computational power and the development of efficient Markov chain Monte Carlo algorithms. We revie...

Jim Griffin, Maria Kalli, Mark Steel in Statistical Methods & Applications (2017)

Article

Modified Cholesky Riemann Manifold Hamiltonian Monte Carlo: exploiting sparsity for fast sampling of high-dimensional targets

Riemann manifold Hamiltonian Monte Carlo (RMHMC) has the potential to produce high-quality Markov chain Monte Carlo output even for very challenging target distributions. To this end, a symmetric positive defi...

Tore Selland Kleppe in Statistics and Computing (2017)

Article

Testing for sub-models of the skew t-distribution

The skew t-distribution includes both the skew normal and the normal distributions as special cases. Inference for the skew t-model becomes problematic in these cases because the expected information matrix is si...

Thomas J. DiCiccio, Anna Clara Monti in Statistical Methods & Applications (2017)

Article

Efficient MCMC estimation of inflated beta regression models

This paper introduces a new and computationally efficient Markov chain Monte Carlo (MCMC) estimation algorithm for the Bayesian analysis of zero, one, and zero and one inflated beta regression models. The algo...

Phillip Li in Computational Statistics (2017)

Article

Literature Review on Supply Uncertainty Problems: Yield Uncertainty and Supply Disruption

This paper reviews the literature on two types of supply uncertainty: yield uncertainty and supply disruption. We discuss issues related to the yield uncertainty and performance in the context of systems with ...

Khimya S. Tinani, Deepa H. Kandpal in Journal of the Indian Society for Probabil… (2017)

Article

Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes

This article redefines the self-exciting threshold integer-valued autoregressive (SETINAR(2,1)) processes under a weaker condition that the second moment is finite, and studies the quasi-likelihood inference f...

Han Li, Kai Yang, Dehui Wang in Computational Statistics (2017)

Article

Statistical inference in constrained latent class models for multinomial data based on \(\phi \) -divergence measures

In this paper we explore the possibilities of applying \(\phi \) ϕ ...

A. Felipe, N. Martín, P. Miranda, L. Pardo in Advances in Data Analysis and Classification (2017)

Article

Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges

With the influx of complex and detailed tracking data gathered from electronic tracking devices, the analysis of animal movement data has recently emerged as a cottage industry among biostatisticians. New appr...

Toby A. Patterson, Alison Parton, Roland Langrock… in AStA Advances in Statistical Analysis (2017)