Results 21 to 30 of about 30,979,719 (362)

Analysis of Bus Service Reliability Using A VL Data: Case Study of the City of Koper

Promet (Zagreb), 2008
This article uses a statistical approach to examine the bussystem reliability in the city of Koper. Four statistical modelswere developed using OLS to explain the effect of different variableson system reliability.
Dejan Paliska, Jurij Kolenc
doaj   +1 more source

Tropical Geometry of Statistical Models [PDF]

, 2004
This paper presents a unified mathematical framework for inference in graphical models, building on the observation that graphical models are algebraic varieties.
Allman, B. Sturmfels, L. Pachter, Pupko, Waterman   +4 more
core   +4 more sources

An introduction to statistical learning with applications in R

Statistical Theory and Related Fields, 2021
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
Fariha Sohil, Muhammad Umair Sohali, J. Shabbir   +2 more
semanticscholar   +1 more source

PAACDA: Comprehensive Data Corruption Detection Algorithm

IEEE Access, 2023
With the advent of technology, data and its analysis are no longer just values and attributes strewn across spreadsheets, they are now seen as a stepping stone to bring about revolution in any significant field.
Charvi Bannur, Chaitra Bhat, Kushagra Singh, Shrirang Ambaji Kulkarni, Mrityunjay Doddamani   +4 more
doaj   +1 more source

Comparison between Time- and Observation-Based Gaussian Process Regression Models for Global Horizontal Irradiance Forecasting

Solar, 2022
With the development of predictive management strategies for power distribution grids, reliable information on the expected photovoltaic power generation, which can be derived from forecasts of global horizontal irradiance (GHI), is needed.
Shab Gbémou, Julien Eynard, Stéphane Thil, Stéphane Grieu   +3 more
doaj   +1 more source

Estimation of the Daily Variability of Aggregate Wind Power Generation in Alberta, Canada

Energies, 2019
This paper describes a hierarchy of increasingly complex statistical models for wind power generation in Alberta applied to wind power production data that are publicly available. The models are based on combining spatial and temporal correlations.
Yilan Luo, Deniz Sezer, David Wood, Mingkuan Wu, Hamid Zareipour   +4 more
doaj   +1 more source

Trade-Off between Precision and Resolution of a Solar Power Forecasting Algorithm for Micro-Grid Optimal Control

Energies, 2020
With the development of micro-grids including PV production and storage, the need for efficient energy management strategies arises. One of their key components is the forecast of the energy production from very short to long term. The forecast time-step
Jean-Laurent Duchaud, Cyril Voyant, Alexis Fouilloy, Gilles Notton, Marie-Laure Nivet   +4 more
doaj   +1 more source

Exploring Projections for HIV Infection with Pre-Exposure Prophylaxis Usage in a High-Risk Population

Applied Sciences, 2022
Prevention of type-1 human immunodeficiency virus (HIV) infections has primarily been through condom usage, abstinence, and behavioral and risk awareness programs.
Jeramy Lewis, Robert E. Camley
doaj   +1 more source

Statistical inference in compound functional models [PDF]

, 2012
We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates but possibly a small number of relevant covariates ...
Dalalyan, Arnak, Ingster, Yuri, Tsybakov, Alexandre   +2 more
core   +4 more sources

Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality

ESC Heart Failure, 2020
This study aimed to review the performance of machine learning (ML) methods compared with conventional statistical models (CSMs) for predicting readmission and mortality in patients with heart failure (HF) and to present an approach to formally evaluate ...
Sheojung Shin, P. Austin, H. Ross, H. Abdel-Qadir, Cassandra Freitas, G. Tomlinson, D. Chicco, Meera Mahendiran, P. Lawler, F. Billia, A. Gramolini, S. Epelman, Bo Wang, Douglas S. Lee   +13 more
semanticscholar   +1 more source