Browsing by Subject Bayesian statistical decision theory

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Showing results 23 to 42 of 53 < previous   next >
Issue DateTitleAuthor(s)
2014Estimation of force of infection based on different epidemiological proxies : 2009/2010 Influenza epidemic in MaltaMarmarà, Vincent-Anthony; Cook, A.; Kleczkowski, A.
2010-07Forecasting macroseismic scenarios through anisotropic attenuation : a Bayesian approachRotondi, R.; Azzaro, R.; D'Amico, Sebastiano; Tuvè, T.; Zonno, G.
2018Forecasting using Bayesian VARs : a benchmark for STREAMRuisi, Germano; Borg, Ian
2022Gaussian discriminators between ΛCDM and wCDM cosmologies using expansion dataMehrabi, Ahmad; Said, Jackson
2018Home sapiens in Arabia by 85,000 years agoGroucutt, Huw S.; Grün, Rainer; Zalmout, Iyad A. S.; Drake, Nick A.; Simon J. Armitage, Simon J.; Candy, Ian; Clark-Wilson, Richard; Louys, Julien; Breeze, Paul S.; Duval, Mathieu; Buck, Laura T.; Kivell, Tracy L.; Pomeroy, Emma; Stephens, Nicholas B.; Stewart, Mathew; Price, Gilbert J.; Stock, Jay T.; Kinsley, Leslie; Sung, Wing Wai; Alsharekh, Abdullah; Al-Omari, Abdulaziz; Zahir, Muhammad; Memesh, Abdullah M.; Abdulshakoor, Ammar J.; Al-Masari, Abdu M.; Bahameem, Ahmed A.; Al Murayyi, Khaled M. S.; Zahrani, Badr; Scerri, Eleanor L. M.; Petraglia, Michael D.
2021How effective is Macroeconomic Imbalance Procedure (MIP) in predicting negative macroeconomic phenomena?Biegun, Krzysztof; Karwowski, Jacek; Luty, Piotr
2023Identifying compulsive gamblers using Bayesian networksCaruana, Mark Anthony; Farrugia, Christian A.
2016Identifying gambling addiction using logistic regression and naive bayesAttard, Bernadine (2016)
2021Identifying problematic gamblers using artificial and Bayesian neural networks : a binary and multiclass approachButtigieg, Kurt Dylan (2021)
2022Identifying problematic gamblers using multiclass and two-stage binary neural network approachesButtigieg, Kurt Dylan; Caruana, Mark Anthony; Suda, David
2021Image deblurring using machine learning modelsAgius Betts, Adam (2021)
2012An international comparative family medicine study of the Transition Project data from the Netherlands, Malta and Serbia. Is family medicine an international discipline? Comparing diagnostic odds ratios across populationsSoler, Jean Karl; Okkes, Inge; Oskam, Sibo; Boven, Kees van; Zivotic, Predrag; Jevtic, Milan; Dobbs, Frank; Lamberts, Henk; Transition Project
2013Issues in the absolute chronology of the Early-Middle Bronze Age transition in Sicily and southern Italy : a Bayesian radiocarbon viewAlberti, Gianmarco
2015Lung cancer risk modelling, from poisson regression to spatial BayesChetcuti, Janet (2015)
2007Minima Thapsiana. Riflessioni sulla cronologia dell'abitato di ThapsosAlberti, Gianmarco
2012Modeling ordinal data through bayesian semSammut, Shaun (2012)
2011Modelling football dataGalea, Renzo (2011)
2021Modelling survival dataGrech, Lawrence (2021)
2024A novel approach to determine multi-tiered nearly zero-energy performance benchmarks using probabilistic reference buildings and risk analysis approachesGatt, Damien; Yousif, Charles; Cellura, Maurizio; Guarino, Francesco; Scerri, Kenneth; Tinnirello, Ilenia
2023Of pathogens and probabilitiesSuda, David; Borg Inguanez, Monique; Ursino, Gianluca