Results 31 to 40 of about 11,701,413 (315)

Statistical Risk Models [PDF]

open access: yesSSRN Electronic Journal, 2016
44 pages; a trivial typo corrected, references updated; to appear in The Journal of Investment Strategies.
Kakushadze, Zura, Yu, Willie
openaire   +2 more sources

Bradley-Terry models in R : the BradleyTerry2 package [PDF]

open access: yes, 2012
This is a short overview of the R add-on package BradleyTerry2, which facilitates the specification and fitting of Bradley-Terry logit, probit or cauchit models to pair-comparison data.
Heather Turner   +3 more
core   +1 more source

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

open access: yesEnergies, 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   +4 more
doaj   +1 more source

Towards understanding models for statistical literacy: A literature review. [PDF]

open access: yes, 2010
Despite statistical literacy being relatively new in statistics education research, it needs special attention as attempts are being made to enhance the teaching, learning and assessing of this strand.
Talakia'atu, Semisi   +4 more
core   +1 more source

Combining multi-domain statistical machine translation models using automatic classifiers [PDF]

open access: yes, 2010
This paper presents a set of experiments on Domain Adaptation of Statistical Machine Translation systems. The experiments focus on Chinese-English and two domain-specific corpora. The paper presents a novel approach for combining multiple domain-trained
Li, Baoli   +5 more
core   +2 more sources

Evaluating Predictive Models for Three Green Finance Markets: Insights from Statistical vs. Machine Learning Approaches

open access: yesComputation
As climate change has become of eminent importance in the last two decades, so has interest in industry-wide carbon emissions and policies promoting a low-carbon economy.
Sonia Benghiat, Salim Lahmiri
doaj   +1 more source

A machine learning approach to statistical shape models with applications to medical image analysis [PDF]

open access: yes, 2010
Statistical shape models have become an indispensable tool for image analysis. The use of shape models is especially popular in computer vision and medical image analysis, where they were incorporated as a prior into a wide range of different algorithms.
Lüthi, Marcel
core   +1 more source

PREDICTIVE STATISTICAL MODELS OF SURFACE MELT WATER RUNOFF ON A SLOPE IN THE AZOV ZONE ROSTOV REGION

open access: yesМелиорация и гидротехника
Purpose: to conduct a statistical analysis of the relationship between a number of natural factors and snow evaporation, melt water surface runoff during the snowmelt period on a slope with ordinary chernozem in Rostov region for various agricultural ...
Ivan V. Batishchev   +2 more
doaj   +1 more source

Statistical validation of genetic models

open access: yes, 2001
Various aspects of statistical validation of genetic models are reviewed. Possible ways of decomposing additive genetic variance over time and ways of comparing predictions at different times are suggested.
Robin Thompson, Thompson, R.
core   +1 more source

Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics

open access: yesFrontiers in Network Physiology
Cerebral physiological signals embody complex neural, vascular, and metabolic processes that provide valuable insight into the brain’s dynamic nature. Profound comprehension and analysis of these signals are essential for unraveling cerebral intricacies,
Nuray Vakitbilir   +13 more
doaj   +1 more source

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