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Workshop Programme

for period 6-10 August

Construction and Properties of Bayesian Nonparametric Regression Models

6-10 August

Timetable

Monday 06 August
08:00-09:00 Registration BNR
09:00-10:30 Ghoshal, S (North Carolina State) BNR
  Dirichlet process, related priors and posterior asymptotics Sem 1
10:30-11:00 Coffee BNR
11:00-12:30 Lijoi, A (Pavia) BNR
  Models beyond the Dirichlet process Sem 1
12:30-13:30 Lunch at Wolfson Court BNR
14:00-15:30 Dunson, D (Duke) BNR
  Applications to biostatistics Sem 1
15:30-16:00 Tea BNR
16:00-17:30 Teh, Y (UCL) BNR
  Applications to machine learning Sem 1
17:30-18:30 Welcome Wine Reception and Poster session BNR
18:45-19:30 Dinner at Wolfson Court (Residents only) BNR
Tuesday 07 August
09:00-10:00 Kim, Y (Seoul) BNR
  Posterior consisteny of logistic random effect models Sem 1
09:00-09:30 Mukherjee, B (Michigan) BNR
  Bayesian semiparametric analysis of gene-environment interactionn unde conditional gene-environment independence (Venue: GH seminar RM2) Sem 2
09:30-10:00 Ruggiero, M (Torino) BNR
  Bayesian countable representation of some population genetics diffusions (Venue: GH seminar RM2) Sem 2
10:00-11:00 Nieto-Barajas, LE (ITAM) BNR
  Some good news about nonparametric priors in density estimation Sem 1
11:00-11:30 Coffee and Poster session BNR
11:30-12:30 Johnson, W (UC at Irvine) BNR
  Semi-parametric survival analysis with time dependent covariates Sem 1
12:30-13:30 Lunch at Wolfson Court BNR
14:00-15:00 Laud, P (Wisconsin) BNR
  Genetic association studies in the presence of population structure and admixture Sem 1
15:00-15:30 Tea and Poster session BNR
15:30-16:30 Cox, D (Rice) BNR
  Useful priors for covariance operators Sem 1
16:30-17:00 Kalli, M (Kent) BNR
  Bayesian nonparametrics and variance regression-: mixtures of Dirichlet processes and the slice sampler Sem 1
17:00-17:30 Spano, D (Oxford) BNR
  Canonical representations for dependent Dirichlet populations Sem 1
17:30-18:30 MacEachern, SN (Ohio State) BNR
  Minimally informative nonparametric Bayesian procedures Sem 1
18:45-19:30 Dinner at Wolfson Court (Residents only) BNR
Wednesday 08 August
09:00-09:30 Pruenster, I (Turin) BNR
  On the posterior structure of NRMI (Venue: GH seminar RM2) Sem 2
09:00-10:00 Guglielmi, A (Polytec - Milan) BNR
  Semiparametric inference for the accelerated failure time model using hierarchical mixtures with generalised gamma processes Sem 1
09:30-10:00 Herring, A (North Carolina) BNR
  Semiparametric bayes joint modeling with functional predictors (Venue: GH seminar RM2) Sem 2
10:00-11:00 De Iorio, M (Imperial) BNR
  A DDP model for survival regression Sem 1
11:00-11:30 Coffee BNR
11:30-12:30 Petrone, S (Bocconi) BNR
  Hybrid Dirichlet processes for functional data Sem 1
12:30-13:30 Lunch at Wolfson Court BNR
14:00-15:00 Simoni, A (Toulouse 1) BNR
  Regularised posteriors in linear ill-posed inverse problems Sem 1
15:00-15:30 Tea BNR
15:30-16:30 Popova, E (Texas at Austin) BNR
  Bayesian semiparametric analysis for a single item maintenance optimis Sem 1
16:30-17:30 House, L (Durham) BNR
  Functional data analysis using a levy random fields model for multi-spectra peak identification and classification Sem 1
17:30-18:30 Steel, M (Warwick) BNR
  Bayesian nonparametric modelling with the Dirichlet process regression smoother Sem 1
18:45-19:30 Dinner at Wolfson Court (Residents only) BNR
Thursday 09 August
09:00-10:00 Kohn, R (New South Wales) BNR
  Flexibly modelling conditional distributions in regression Sem 1
09:00-09:30 Yin, G (Texas) BNR
  Bayesian semiparametic cure rate model with an unknown threshold (Venue: GH seminar RM2) Sem 2
09:30-10:00 Yu, K (Brunel) BNR
  Bayesian inference for quantile regression, expectile regression and M-quantile regression (Venue: GH seminar RM2) Sem 2
10:00-11:00 Arjas, E (Helsinki) BNR
  Postulating monotonicity in nonparametric Bayesian regression Sem 1
11:00-11:30 Coffee and Poster session BNR
11:30-12:30 Dunson, D (Duke) BNR
  The matrix stick-breaking process: flexible Bayes meta analysis Sem 1
12:30-13:30 Lunch at Wolfson Court BNR
14:00-15:00 Williams, CKI (Edinburgh) BNR
  Gaussian processes for machine learning Sem 1
15:00-15:30 Tea and Poster session BNR
15:30-16:30 Karabatsos, G (Illinois at Chicago) BNR
  Bayesian nonparametric single-index regression Sem 1
16:30-17:00 Ho, MW (Singapore) BNR
  A Bayes method for a monotone hazard rate via ${S}$-paths Sem 1
17:00-17:30 Choi, T (Maryland) BNR
  Alternative posterior consisteency results in nonparametric binary regression using Gaussian process priors Sem 1
19:30-23:00 Conference Dinner at Christ's College (Dining Hall) BNR
Friday 10 August
09:00-10:00 Quintana, FA (Catolica de Chile) BNR
  Bayesian clustering with regression Sem 1
09:00-09:30 De Blasi, P (Turin) BNR
  Asymptotics for posterior hazards (Venue: GH seminar RM2) Sem 2
09:30-10:00 Mena, R (IIMAS, UNAM) BNR
  Bayesian nonparametric methods for prediction in EST analysis (Venue: GH seminar RM2) Sem 2
10:00-11:00 Basu, S (Northern Illinois) BNR
  Double Dirichlet process mixtures Sem 1
11:00-11:30 Coffee BNR
11:30-12:30 Griffin, J (Warwick) BNR
  Normalised kernel-weighted random measures Sem 1
12:30-13:30 Lunch at Wolfson Court BNR
14:00-15:00 Kokolakis, G (Athens) BNR
  Convexification and multimodality of random probability measures Sem 1
15:00-15:30 Tea BNR
15:30-16:30 Lee, J (Seoul) BNR
  Posterior consistency of species sampling priors Sem 1
16:30-17:30 James, L (Hong Kong) BNR
  Some new identities for Dirichlet means and implications Sem 1
18:45-19:30 Dinner at Wolfson Court (Residents only) BNR
Other Seminars
Seminars in the University
National and International Scientific Research Meetings

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