Talks Elsewhere

All long-term participants in Newton Institute programmes are encouraged to give seminars at, or to make short visits to, UK institutions outside Cambridge during their stay. To support this activity, the Institute will cover the travel expenses involved for any participant who is formally invited to speak at another institution; the host institution is expected to cover any accommodation and incidental costs.

To assist organisers of seminar series at UK Universities in their search for relevant speakers, the Newton Institute maintains a register of those of its participants who are visiting from overseas for a period of at least two weeks, and who have indicated their willingness to give lectures or seminars elsewhere during their stay. This register lists their visit dates and key subject areas. To make arrangements, please email: reception[at]newton.ac[dot]uk

The lists of all participants in each programme may be found by visiting the relevant programme's web page.

Speaker	Availability	Area of Expertise	Suggested Talk Titles
Nathalie Akakpo Laboratoire de Probabilités et Modèles Aléatoires	[STS] Statistical scalability 11 Feb to 15 Mar 2018	Model Selection	Multivariate Intensity estimation via Hyperbolic Wavelet Selection
Alexander Aue University of California, Davis	[STS] Statistical scalability 18–29 Jun 2018	Time series analysis/Econometrics/High-dimensional statistics	Prediction and estimation of functional time series Spectral properties of covariance matrices from high-dimensional time series
Timothy Cannings University of Southern California	[STS] Statistical scalability 1–19 Jun 2018	Classification problems	Local nearest neighbour classification with applications to semi-supervised learning Random-Projection Ensemble Classification
Hao Chen University of California, Davis	[STS] Statistical scalability 24 Mar to 15 Apr 2018	nonparametric statistics	Change-point detection for multivariate and non-Euclidean data Graph-based two-sample tests
Holger Dette Ruhr-Universität Bochum	[STS] Statistical scalability 4–14 Feb 2018	Statistics	Copula-based spectral analysis Detecting long-range dependence in nonstationary time series Equivalence of regression curves Optimal designs for comparing curves Relevant change-points and high-dimensional time series Statistical methodology for comparing curves Testing for independence of large dimensional vectors
Claudia Kirch Otto-von-Guericke-Universität Magdeburg	[STS] Statistical scalability 25 Apr to 22 Jun 2018	Time series analysis, in particular change point analysis and resampling	Frequency domain likelihood approximations for time series bootstrapping and Bayesian nonparametrics Multiple change point estimation based on moving sum statistics
Tatyana Krivobokova Georg-August-Universität Göttingen	[STS] Statistical scalability 22 Apr to 22 Jun 2018	Nonparametric regression; dimension reduction; modelling of dependent data	Adaptive empirical Bayesian smoothing splines: estimation and testing Partial least squares for dependent data
Regina Liu Rutgers, The State University of New Jersey	[STS] Statistical scalability 16 Mar 2018	Mathematics	Nonparametric tolerance tubes for tracking functional data
Po-Ling Loh University of Wisconsin-Madison	[STS] Statistical scalability 15 Jan to 10 Mar 2018 29 Jan 2018 15 Feb 2018 2 Mar 2018	Mathematics	Influence maximisation in stochastic and adversarial settings Modelling disease propagation in networks: source-finding and influence maximisation Statistical inference for infectious disease modeling Statistical inference for infectious diseases modelling
Matthew Plumlee Northwestern University	[UNQ] Uncertainty quantification for complex systems: theory and methodologies 25 Apr to 12 May 2018	Statistical Model Calibration	Computer Model Calibration with Confidence and Consistency
Olivier Roustant Mines Saint-Étienne	[UNQ] Uncertainty quantification for complex systems: theory and methodologies 5–9 Feb 2018 5–9 Mar 2018	Surrogate models	Gaussian process metamodels with categorical inputs Reducing dimension with Derivative-based Global Sensitivity Measures
Gianluigi Rozza SISSA	[UNQ] Uncertainty quantification for complex systems: theory and methodologies 5–8 Mar 2018	Reduced Order Methods	Advances in Reduced Order Methods in CFD
Xiaomin Zhang University of Wisconsin-Madison	[STS] Statistical scalability 1 Mar 2018	Mathematics	Theoretical support of machine learning debugging via weighted M-estimation

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