Richard Nickl

Name:	Richard Nickl
Affiliation:
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	22 Sep 2017, 2:38 p.m.

Public lists managed by Richard Nickl

• Statistics Reading Group

Talks given by Richard Nickl

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Statistical inference in high- and infinite-dimensional models

Talks organised by Richard Nickl

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Richard Nickl actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Non-parametric regression with observations at imprecise times: Bayesian radiocarbon calibration
• Simultaneous confidences bands with the volume-of-tube formula and spline estimators
• Hawkes process as models for some genomic data
• Bernstein - von Mises Theorems for general functionals
• Bayesian non-parametric analysis of diffusions
• Likelihood Inference and Bayesian MCMC
• M-estimation strategies for the ranking problem
• Detecting Change Points in Multidimensional Functional Data
• Markov chain Monte Carlo on Riemann manifolds
• Approximate Inference for the Loss-Calibrated Bayesian
• Causal inference in high-dimensional systems based on observational data
• Bayesian semiparametrics with Gaussian process priors
• Simultaneous local and global adaptivity of Bayesian wavelet estimators in nonparametric regression
• Concentration inequalities by the entropy method, variations
• On adaptive nonparametric inference
• New Thinking about Statistical Inference and its Application to Climate Prediction
• Regret Bounds for Gaussian Process Bandit Problems
• Applications of Bernstein polynomials in Statistics
• Title to be confirmed
• Sparsity pattern aggregation for convex stochastic optimization.
• Control variates for reversible MCMC samplers
• Conditional Predictive Inference Post-Model Selection
• Learning rates in Bayesian nonparametrics: Gaussian process priors
• Empirical support for DNA match probabilities
• Statistical estimation of a multifractal function
• Soap film smoothing
• Risk Hull Methods for Inverse Problems
• Bayesian Methods in Cosmology
• Probabilistic Expert Systems for Handling Artifacts in Complex DNA Mixtures
• Probabilistic Expert Systems for Handling Artifacts in Complex DNA Mixtures
• Forward Smoothing using Sequential Monte Carlo with Application to Recursive Parameter Estimation
• Choosing a good histogram
• Total variation and curves