Pattern Recognition and Classifiers PhD

Study modes: Full time

Course description: Pattern recognition is a very active field of research intimately bound to machine learning and data mining; also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input pattern.(read more)

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All statistics courses at Bangor University

Statistics PhD

Study modes: Full time | Part time evening

Course description: Supervision is available for research within the Statistics Group, which undertakes a varied range of research, with emphasis on both the theoretical and the applied; the group has strong connections with research universities in the United States, such Texas A&M University, and the University of Texas; all postgraduate students are encouraged to take part in seminars and to help in tutorial classes.(read more)

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All statistics courses at University Of Kent

Statistics PhD

Study modes: Full time | Part time evening

Course description: Research supervisions available in the areas of: pure mathematics; applied mathematics; statistics; operational research; algebra (semi groups); mathematical modelling of laser materials processing; mathematical and statistical studies of the remote sensing of rain; computational operational research.(read more)

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All statistics courses at University Of Essex

Statistics PhD

Study modes: Full time

Course description: Research falls into 4 categories: Applied probability: epidemic models; ion channel models; mathematical finance; stochastic analysis of shape; diffusion on manifolds; semi-Markov processes; and probability inequalities; image and shape analysis: high-level Bayesian image analysis; medical imaging analysis; spatio-temporal modelling; and texture analysis; statistical archaeology: tree-ring dating; analysis of seriation data.(read more)

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All statistics courses at University Of Nottingham

Mathematics PhD

Study modes: Full time

Course description: Research supervision is available in the following areas: approximation theory: data fitting; matrix approximation in control; computer-aided design; wavelets; mathematical biology: nerve growth; bifurcation; reaction-diffusion; non-linear difference equations; evolutionary dynamics; optimisation methods and theory: non-linear programming; non-linear least squares; linear and quadratic programming; non-smooth optimisation.(read more)

All statistics courses at University Of Dundee

Pure Mathematics and Mathematical Statistics PhD

Study modes: Full time

Course description: Principal research areas: pure mathematics: algebra, analysis, topology, discrete mathematics, geometry, number theory, algebraic geometry; Statistics Laboratory within Department accepts graduates working in wide range of subjects within statistics, probability, operational research and systems theory.(read more)

All statistics courses at University Of Cambridge

Statistics PhD

Study modes: Full time | Part time evening

Course description: Research interests span the fields of probability and statistics; work in probability extends from theoretical aspects of stochastic differential equations and Markov chains to applications such as stochastic modelling of financial markets; in statistics, there is a particular interest in methods which take advantage of modern computational resources; specialisms include: Brownian motion; forecasting for inventory control.(read more)

All statistics courses at University Of Bath

Statistics PhD

Study modes: Full time | Part time evening

Course description: Strong practical research emphasis based upon complementary themes of: statistical modelling; statistical computing; and analysis of complex data; particular interest in medical and environmental applications; specific current areas of research include: analysis of longitudinal data; time series; spatial statistics; multivariate graphical modelling; stochastic hydrology; extreme value theory; survival analysis and medical statistics.(read more)

All statistics courses at Lancaster University

Computing/Mathematics/Statistics PhD

Study modes: Full time | Part time evening

Course description: Research areas include: distributed systems; computer networks; applied artificial intelligence, neural networks; multimedia systems, web development; object-oriented systems; computer security; computer-aided learning; mathematics education.(read more)

All statistics courses at Liverpool John Moores University

Statistics PhD

Study modes: Full time | Part time evening

Course description: Current research interests include: image analysis; shape analysis; medical imaging; multivariate analysis; spatial statistics; statistical inference; robustness; directional data analysis; MCMC methodology; classification; pattern recognition; stochastic differential equations; statistical theory; probability theory; non-parametric density estimation.(read more)

All statistics courses at University Of Leeds

Statistical Science PhD

Study modes: Full time | Part time evening

Course description: Research interests include: statistical methods and their applications; statistical inference, including Bayesian and prequential methods; probabilistic expert systems; medical and pharmaceutical statistics; industrial statistics, including chemometrics; applied probability and stochastic modelling; forensic statistics.(read more)

All statistics courses at University College London - Ucl (University Of London)

Statistics PhD

Study modes: Full time | Part time evening

Course description: Research supervision in: wildlife population assessment; ecological, and environmental modelling, and statistical inference: differential geometry of parametric inference; goodness of fit; computer intensive statistical inference, and inference in directional statistics.(read more)

All statistics courses at University Of St Andrews

Statistics PhD

Study modes: Full time

Course description: Main research areas include: Applications in biology, finance and medicine; applied stochastic processes, geometrical probability; Bayesian modelling, theory and computation, stochastic simulation, statistical genetics, changepoint problems, Bayesian non-parametric methods, random effects models, mixture models, survival analysis; design of experiments, randomisation.(read more)

All statistics courses at Imperial College London

Mathematics and Statistics PhD

Study modes: Full time | Part time evening

Course description: Research interests in mathematics and statistics include: Mathematical finance, in particular the analysis of risk and numerical computation; mathematical physics and partial differential equations; approximation theory and numerical analysis; probability and stochastic processes, pure and applied; applied statistics and multivariate analysis; stochastic networks, with applications to traffic and telecommunications problems.(read more)

All statistics courses at Birkbeck, University Of London

Statistics PhD

Study modes: Full time

Course description: Research interests include: Bayesian methods; categorical data analysis; design of experiments; directional data analysis; financial mathematics; finite sample inference for non-linear models; Monte Carlo experiments; multivariate analysis; option pricing; pattern recognition; regression diagnostics; risk management; stochastic differential equations; time series analysis; applications in agriculture; ecology; forensic science; forestry.(read more)

All statistics courses at University Of Edinburgh

Statistical Science and Operational Research PhD

Study modes: Full time | Part time evening

Course description: Current research interests include: Survival analysis; bayesian networks; markov modelling and stochastic models; gene expression modelling, including clustering, longitudinal data analysis and other aspects of data mining.(read more)

All statistics courses at Queen's University Belfast

Probability and Statistics PhD

Study modes: Full time

Course description: Research supervision is available in areas including: Multivariate statistical analysis; time series analysis; statistical modelling in market research; optimal experimental design; stochastic global optimisation; change point detection; probabilistic methods in search and number theory; fisheries; medical statistics.(read more)

All statistics courses at Cardiff University

Pure Mathematics PhD

Study modes: Full time

Course description: Areas of research include: singularity theory; algebraic geometry; topology and analysis; mirror symmetry; Kac-Moody algebras; vector bundles; low-dimensional topology: knots and their polynomial invariants; dynamical systems; algebraic number theory.(read more)

All statistics courses at University Of Liverpool

Statistics DIC

Study modes: Full time

Course description: Main research areas include: Applications in biology, finance and medicine; applied stochastic processes, geometrical probability; Bayesian modelling, theory and computation, stochastic simulation, statistical genetics, changepoint problems, Bayesian non-parametric methods, random effects models, mixture models, survival analysis; design of experiments, randomisation.(read more)

All statistics courses at Imperial College London

Statistics, Operational Research and Probabilistic Methods PhD

Study modes: Full time | Part time evening

Course description: Centre has particular expertise in statistical modelling and in generalised linear modelling and generalised additive modelling; ongoing involvement in the development of the GLIM statistical package; supervision available in all areas of the Centre's activities; particular staff experience in queuing and reliability theory, and combinatorics.(read more)

All statistics courses at London Metropolitan University