[HTML][HTML] Electricity price forecasting: A review of the state-of-the-art with a look into the future

R Weron - International journal of forecasting, 2014 - Elsevier
A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …

Monte Carlo sampling-based methods for stochastic optimization

T Homem-de-Mello, G Bayraksan - Surveys in Operations Research and …, 2014 - Elsevier
This paper surveys the use of Monte Carlo sampling-based methods for stochastic
optimization problems. Such methods are required when—as it often happens in practice …

[HTML][HTML] Permutation inference for the general linear model

AM Winkler, GR Ridgway, MA Webster, SM Smith… - Neuroimage, 2014 - Elsevier
Permutation methods can provide exact control of false positives and allow the use of non-
standard statistics, making only weak assumptions about the data. With the availability of fast …

Sketching as a tool for numerical linear algebra

DP Woodruff - … and Trends® in Theoretical Computer Science, 2014 - nowpublishers.com
This survey highlights the recent advances in algorithms for numerical linear algebra that
have come from the technique of linear sketching, whereby given a matrix, one first …

Automated experiments on ad privacy settings: A tale of opacity, choice, and discrimination

A Datta, MC Tschantz, A Datta - arXiv preprint arXiv:1408.6491, 2014 - arxiv.org
To partly address people's concerns over web tracking, Google has created the Ad Settings
webpage to provide information about and some choice over the profiles Google creates on …

[图书][B] Selecting the right analyses for your data: Quantitative, qualitative, and mixed methods

WP Vogt, DC Gardner, LM Haeffele, ER Vogt - 2014 - books.google.com
" What are the most effective methods to code and analyze data for a particular study? This
thoughtful and engaging book reviews the selection criteria for coding and analyzing any set …

Extremal mechanisms for local differential privacy

P Kairouz, S Oh, P Viswanath - Advances in neural …, 2014 - proceedings.neurips.cc
Local differential privacy has recently surfaced as a strong measure of privacy in contexts
where personal information remains private even from data analysts. Working in a setting …

[图书][B] Handbook of missing data methodology

G Molenberghs, G Fitzmaurice, MG Kenward, A Tsiatis… - 2014 - books.google.com
Missing data affect nearly every discipline by complicating the statistical analysis of collected
data. But since the 1990s, there have been important developments in the statistical …

[图书][B] Upper and lower bounds for stochastic processes

M Talagrand - 2014 - Springer
This book had a previous edition [132]. The changes between the two editions are not only
cosmetic or pedagogical, and the degree of improvement in the mathematics themselves is …

[图书][B] Multistage stochastic optimization

GC Pflug, A Pichler - 2014 - Springer
The topic of this book is multistage stochastic optimization. Multistage reflects the fact that an
optimal decision is an entire strategy or policy, which is executed during subsequent instants …