Supply chain research overview from the early eighties to Covid era–Big data approach based on Latent Dirichlet Allocation
In recent years, supply chain research has grown at a tremendous pace. Many review
papers use systematic literature reviews to describe longer-term trends and perspectives …
papers use systematic literature reviews to describe longer-term trends and perspectives …
State-of-the-art on analytic hierarchy process in the last 40 years: Literature review based on Latent Dirichlet Allocation topic modelling
P Madzík, L Falát - Plos One, 2022 - journals.plos.org
Although there are several articles that have carried out a systematic literature review of the
analytical hierarchy process (AHP), many of them work with a limited number of analyzed …
analytical hierarchy process (AHP), many of them work with a limited number of analyzed …
[HTML][HTML] Bayesian data analysis for newcomers
This article explains the foundational concepts of Bayesian data analysis using virtually no
mathematical notation. Bayesian ideas already match your intuitions from everyday …
mathematical notation. Bayesian ideas already match your intuitions from everyday …
A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic
Y Zhang, Y Zhao, C Kong, B Chen - Energy Conversion and Management, 2020 - Elsevier
With the characteristics of randomness, fluctuation, nonlinearity and uncertainty, wind speed
affects the stability of wind power system. In order to improve the safety and stability of wind …
affects the stability of wind power system. In order to improve the safety and stability of wind …
[LIVRE][B] Statistical pattern recognition
AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …
many advances in recent years. New andemerging applications-such as data mining, web …
[LIVRE][B] The Bayesian choice: from decision-theoretic foundations to computational implementation
CP Robert - 2007 - Springer
This paperback edition, a reprint of the 2001 edition, is a graduate-level textbook that
introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical …
introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical …
[LIVRE][B] Statistical computing with R
ML Rizzo - 2019 - taylorfrancis.com
Computational statistics and statistical computing are two areas that employ computational,
graphical, and numerical approaches to solve statistical problems, making the versatile R …
graphical, and numerical approaches to solve statistical problems, making the versatile R …
Economic efficiency and frontier techniques
LR Murillo‐Zamorano - Journal of Economic surveys, 2004 - Wiley Online Library
Most of the literature related to the measurement of economic efficiency has based its
analysis either on parametric or on non‐parametric frontier methods. The choice of …
analysis either on parametric or on non‐parametric frontier methods. The choice of …
Crises and recoveries in an empirical model of consumption disasters
We estimate an empirical model of consumption disasters using new data on consumption
for 24 countries over more than 100 years, and study its implications for asset prices. The …
for 24 countries over more than 100 years, and study its implications for asset prices. The …
A general framework for the parametrization of hierarchical models
In this paper, we describe centering and noncentering methodology as complementary
techniques for use in parametrization of broad classes of hierarchical models, with a view to …
techniques for use in parametrization of broad classes of hierarchical models, with a view to …