A5077660248- Sports Analytics and Performance
- Machine Learning and Data Classification
- Sports Performance and Training
- Explainable Artificial Intelligence (XAI)
- Mental Health Research Topics
- Gaussian Processes and Bayesian Inference
- Neural Networks and Applications
- Bayesian Modeling and Causal Inference
- Sports, Gender, and Society
- Time Series Analysis and Forecasting
- Consumer Market Behavior and Pricing
- Air Quality and Health Impacts
- Data Analysis with R
- Bayesian Methods and Mixture Models
- Insect and Arachnid Ecology and Behavior
- SARS-CoV-2 and COVID-19 Research
- Sports Dynamics and Biomechanics
- Air Quality Monitoring and Forecasting
- Data Stream Mining Techniques
- Forecasting Techniques and Applications
- Atmospheric chemistry and aerosols
- Imbalanced Data Classification Techniques
- Vehicle emissions and performance
- Animal Behavior and Reproduction
- Statistical Methods in Clinical Trials
University of Ljubljana
2013-2024
The purpose of our research was to investigate the relative frequencies different types basketball shots (above head, hook shot, layup, dunk, tip-in), some details about their technical execution (one-legged, two-legged, drive, cut, …), and shot success in levels competitions. We analysed video footage categorized 5024 from 40 games 5 competitive (National Basketball Association (NBA), Euroleague, Slovenian 1st Division, two Youth competitions). Statistical analysis with hierarchical...
Software tools for Bayesian inference have undergone rapid evolution in the past three decades, following popularisation of first generation MCMC-sampler implementations. More recently, exponential growth number users has been stimulated both by active development new packages machine learning community and popularity specialist software particular applications. This review aims to summarize most popular provide a useful map reader navigate world computation. We anticipate vigorous continued...
We analyse and compare NBA Euroleague basketball through box-score statistics in the period from 2000 to 2017. Overall, quantitative differences between have decreased are still decreasing. Differences even smaller after we adjust for game length when playoff is considered instead of regular season basketball. The factors that contribute success also very small—(Oliver's) four derived explain most variability team if coefficients determined both competitions simultaneously each competition...
Abstract The International Basketball Federation (FIBA) recently introduced major rule changes that came into effect with the 2010/11 season. Most notably, moving three-point arc and changing shot-clock. purpose of this study was to investigate quantify how these affect game performance top-level European basketball players. In order better understand changes, we also investigated past seasons showed presence several trends, even in absence significant changes. A large set statistics for 10...
ObjectivesSeroprevalence surveys provide crucial information on cumulative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure. This Slovenian nationwide population study is the first longitudinal 6-month serosurvey using probability-based samples across all age categories.MethodsEach participant supplied two blood samples: 1316 in April 2020 (first round) and 1211 October/November (second round). The first-round sera were tested Euroimmun Anti-SARS-CoV-2 ELISA IgG (ELISA)...
Probabilities from bookmaker odds are often used in measures of short-run outcome uncertainty. We analyzed the most commonly methods for deriving probability forecasts and found that basic normalization (BN) produces biased probabilities. Furthermore, differences between probabilities produced with BN, regression models, or Shin large enough to lead contradictory conclusions when measure also provide evidence against reported bias bookmakers favoring better supported teams show how past such...
Abstract In this paper, we investigated two questions: (1) can measurements of anthropometric and physiological attributes substitute for expert assessment adolescent basketball players, (2) how much does the quantitative a player vary among experts? The first question is relevant to potential simplification selection process. second pertains directly validity assessment. Our research was based on data from 148 U14 female male players. For each player, an array recorded, including body...