You searched for: statistics probability and data science
1 to 6 of 6 results
Show
results per page
Matched phrases in profile:
concealed within the size and complexity of these big data sets, with a focus on using the models to… simulation, and (3) to optimise a complicated (e.g., highly multi-modal) function.… Data science and machine learning: Mathematical and statistical methods… New-generation parallel-computing cluster for the mathematical and physical sciences… ). Handbook of Monte Carlo Methods, Wiley Series in Probability and Statistics, John Wiley… understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.…
Dirk Kroese's research interests are in: Monte Carlo methods, rare-event simulation, the cross-entropy method, applied probability, and randomised optimisation.
Dirk Kroese is a professor of Mathematics and Statistics at the School of Mathematics and Physics of the University of Queensland. He has …
Matched phrases in profile:
relationships between teams in head-to-head competitions. Applications to NBA, NRL and cricket data.… , and a PhD (Statistics) from the University of Chicago on a McCormick Fellowship. He previously… effects, particularly in designed experiments and allows the data analyst greater control over model specification and parameter interpretation.…
Dr Huang has an Honours degree in Science (Advanced Mathematics) from the University of Sydney, and a PhD (Statistics) from the University of Chicago on a McCormick Fellowship. He previously lectured at the University of Wisconsin-Madison and the University of Technology Sydney, before moving to the …
Matched phrases in profile:
mathematical finance and actuarial science… Stochastic processes, probability theory… conferences including the Probability Theory and Stochastic Processes session at the 65th AustMS 2021… formulation, as the unit detection delay cost or the misdiagnosis and false alarm probabilities go…
Kazutoshi Yamazaki is a senior lecturer at the School of Mathematics and Physics, the University of Queensland. Before joining UQ in April 2022, he was an assistant professor at Osaka University and an associate professor at Kansai University. He is an applied probabilist with contributions in the f …
Matched phrases in profile:
inference and learning algorithms to allow the analysis of so-called big data sets. New data analytic… Mathematics and Statistics for the Bio-Sciences - Eason,g, Coles,cw, Gettinby,g… Expanding the Role of Mixture Models in Statistical Analyses of Big Data… microarray, gene expression data, finite mixture models and medical statistics. Professor… theoretical perspectives of probability and statistics. We establish and prove the following results: to an…
Professor Geoffrey McLachlan's research interests are in: data mining, statistical analysis of microarray, gene expression data, finite mixture models and medical statistics.
Professor McLachlan received his PhD from the University of Queensland in 1974 and his DSc from there in 1994. His current r …
Matched phrases in profile:
identification of atypical data points within a sample and of anomalous samples within a class. Key applications… Polynomial approximations for bit error probability for 4-DPSK transmission… Flexible data modelling via skew mixture models:challenges and applications… on cooperative training of multivariate mixture models. With modern-day big data often collected and…
Matched phrases in profile:
Aggregation of outputs and inputs for DEA analysis of hospital efficiency: economics, operations research and data science perspectives… hospital data from the first study and show that the improvements are practically significant. The…
1 to 6 of 6 results