| Preprint No. | Author(s) | Title and publication details |
|---|---|---|
| IP08051 | HH Zhou | Adaptive estimation of covariance matrices by block thresholding |
| IP08052 | L Forzani,RD Cook | Likelihood-based sufficient dimension reduction |
| IP08053 | L Forzani,RD Cook | A further note to "smoothed functional inverse regression" |
| IP08054 | J Kent,A Mosamam | Semi-reproducing Kernal Hilbert spaces, splines and increment kriging |
| IP08055 | J Kent,KU Mardia,G Hughes | Statistical inference using pseudo-likelihood |
| IP08056 | J Kent,RD Cook | A likelihood interpretation of partial least squares |
| IP08062 | J Clarke,B Clarke | Adaptive combined average predictors |
| IP08063 | A Kovac,M Meise | Minimising total variation |
| IP08064 | C Taylor,MD Marzio | Local polynomial regression for circular data |
| IP08065 | C Taylor, KV Mardia,JT Kent | Multivariate analysis (second/revised edition) |
| IP08066 | C Taylor,KV Mardia,JY Kent | Statsitical estimation using composite likelihoods |
| IP08067 | EJ Wegman,YH Said | A directed graph model of ecological alcohol systems incorporating spatiotemporal effects |
| IP08068 | Yh Said | Estimating spatiotemporal effects for ecological alcohol systems |
| IP08069 | WF Wieczorek,YH Said,EJ Wegman | Spatial and computational models of alcohol use and problems |
| IP08070 | EJ Wegman,YH Said | Text mining with application to fraud discovery |
| IP08071 | C Butucea,C Matias,A Poeut | Adaptivity in convolution models with partially known noise distribution |
| IP08074 | CP Robert,N Chopin,J Rousseau | Harold Jeffrey's theory of probability revisited |
| IP08075 | B Nadler | A statistical approach to image segmentation |
| IP08076 | B Nadler,S Kritchman | Determining the number of components in a factor model from limited noisy data |
| IP08079 | D Cook,D Swayne,A Buja | Interactive and dynamic graphics for data analysis with examples using (R) and (GG)obi |
| IP08080 | D Cook | Incorporating exploratory methods using dynamic graphics into multivariate statistics classes |
| IP08081 | D Cook,M Lawrence,EK Lee | Multivariate exploratory analysis and visualisation for systems biology |
| IP08082 | D Cook,J Hobbs,H Wickham | Glaciers melt as mountains warm |
| IP08083 | D Cook | It's the brain that needs sweetness, not the eye! |
| IP08084 | D Cook | Dynamic graphics |
| IP08085 | D Cook | Should large dining parties pay a flat rate tip? A story about statistics and data |
| IP08090 | A Maurer,M Pontil | A uniform lower error bound hafspace learning |
| IP08091 | F Bunea,M Wegkamp,A Tsybakov | Non-asymptotic variable selection via the Lasso and the elastic net |
| IP08092 | F Bunea,M Wegcamp,A Tsybakov | Sparse oracle inequalities in density estimation |
| IP08093 | M Wegkamp,M Yuan | SVM with a reject option |
| IP08094 | M Wegkamp,F Bunea,A Tsybakov | Sparse oracle inequalities for density projection estimators |
| IP08097 | JA Wellner,L Dumbgen,S van de Geer | Nemirovski's inequality revisited |
| IP08098 | HG Mueller,P Hall,F Yao | Estimation of functional derivatives |
| IP08099 | HG Mueller,B Liu | Estimating derivatives for samples of sparsely observed functions, with application to online auction dynamics |
| IP08100 | M Pontil,A Caponnetto,E De Vito | Entropy conditions for Lr-convergence of empirical processes |
| IP08101 | M Pontil | Uniform error bounds for K-dimensional coding in Hikbert spaces |
| IP08102 | M Pontil,M Herbster | Fast prediction on a tree |
| IP08103 | I Murray,R Salakhutdinov | Evaluating probabilities under high-dimensional latent variable models |
| IP08106 | B Rajaratnam,A Young | Bootstrap methods for the ML approach (marginal likelihood) |
| IP08107 | B Rajaratnam | Improved estimation in graphical models |
| IP08108 | B Rajaratnam,M Titterington | Sparse estimation of mixtures |
| IP08114 | M Titterington,P Hall,J Xue | Tilting methods for assessing the influence of components in a classifier |
| IP08115 | M Titterington,P Hall,J Xue | Median-based classifiers for high-dimensional data |
| IP08116 | M Titterington | Neural networks |
| IP08129 | HC van Houwelingen,J Goeman | Global testing of association and/or predictability in regression problems with p>>n predictors |
| IP08130 | HC van Houwelingen | Fitting survival models with p>>n predictors: beyond proportional hazards |
| IP08133 | JQ Shi,G Yi | Penalised Gaussian process regression |
| IP08134 | JQ Shi,B Wang,M Titterington | Gaussian process regression and reproducing Kernel Hilbert space |
| IP08135 | PJ Wolfe | Schur complements and quadratic forms: technical memo |
| IP08136 | PJ Wolfe | Dimension reduction and quadratic forms: lecture notes |
| IP08137 | PJ Wolfe | On the approximation of quadratic forms and their use in estimating matrix products |
| IP08140 | G Kutyniok,DL Donoho | Microlocal analysis of the geometric separation problem |
| IP08147 | A Tsybakov,F Bunea,M Wegkamp | Sparse density estimation with C1 penalties |
| Ip08148 | A Tysbakov | Introduction to nonparametric estimation |
| IP08149 | G McLachlan,J Baek | Clustering of high-dimensional data via finite mixture models |
| IP08150 | G McLachlan | The EM alogrithm: The top ten algorithms in data mining |
| IP08151 | S Olhede,A Sykulski,G Parliots | Multiscale inference for high frequency data |
| IP08152 | S Olhede,J Lilly | Higher-order properties of strategic wavelets |
| IP08153 | S Olhede,B Whitikar | A statistical framework to characterise microstructure in HARDT |
| IP08154 | A Young,TJ DiCiccio | Objective Bayes and conditional inference in multi-dimensional exponential families |
| IP08155 | A Young | Routes to higher-order accuracy in parametric inference |
| IP08156 | A Young,TJ DiCiccio,B Rajaratnam | Bootstrap and composite likelihood inference |
| IP08159 | J Jin,D Donoho | Higher criticism thresholding opitmal feature selection when useful features are rare and weak |
| IP08160 | P Bickel,JB Brown,H Zhang | A nonparametric model for genome |
| IP08161 | P Bickel | Comment on Fan and Li |
| IP08162 | P Bickel | Comment on Gneitine et al |
| IP08163 | P Bickel,DH Yan | Sparsity facilitates inference |
| IP08164 | D Donoho,J Tanner | Counting the faces of randomly-projected hypercubes and orthants with applications |
| IP08165 | D Donoho,M Shahram,JL Starck | Healpix wavelets, fast multi-scale methods for the sphere |
| IP08166 | D Donoho,J Tanner | Finite-N bounds proving existence in problems of neighbourhoods and compressed sensing |
| IP08167 | I Johnstone,Z Ma | Second order accuracy for Tracy Widom law for GOE |
| IP08168 | S Gullas,P Bickel,L Levina | Sparsity for EOF, application to climate |
| IP08169 | S Guillas,MJ Lai | Spatial functional regression using biramak spins |
| IP08170 | V Koltchinskii | Oracle inequalities in empirical risk minization and sparse recovery problems |
| IP08171 | J Tanner,D Donoho | Finite dimensional bounds for polytope fare numbers |
| IP08179 | R Samworth,J Fan,Y Wu | Ultra-high dimensional variable selection: beyond the linear model |
| IP08184 | J Tanner,D Donoho | Counting the pages of randomly-projected hypercubes and orthans, with applications |
| IP08185 | M Titterington,B Wang | Variational Bayesian ingerence for partially observed dynamical systems |
| IP08186 | M Titterington,NL Hjort | On expectation propagation and the probabilistic editor in some simple mixture problems |
| IP08188 | A Tsybakov | Introduction to nonparametric estimation |
| IP08189 | S Guillas,P Bickel,L Levina | Sparsity for EOF, application to climate |