Search Results - "Samworth, Richard J"

Goodness‐of‐fit testing in high dimensional generalized linear models by Janková, Jana, Shah, Rajen D., Bühlmann, Peter, Samworth, Richard J.

“…Summary We propose a family of tests to assess the goodness of fit of a high dimensional generalized linear model. Our framework is flexible and may be used to…”
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Choice of Neighbor Order in Nearest-Neighbor Classification by Hall, Peter, Park, Byeong U., Samworth, Richard J.

“…The kth-nearest neighbor rule is arguably the simplest and most intuitively appealing nonparametric classification procedure. However, application of this…”
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Single-dose BNT162b2 vaccine protects against asymptomatic SARS-CoV-2 infection by Jones, Nick K, Rivett, Lucy, Seaman, Shaun, Samworth, Richard J, Warne, Ben, Workman, Chris, Ferris, Mark, Wright, Jo, Quinnell, Natalie, Shaw, Ashley, Goodfellow, Ian G, Lehner, Paul J, Howes, Rob, Wright, Giles, Matheson, Nicholas J, Weekes, Michael P

“…The BNT162b2 mRNA COVID-19 vaccine (Pfizer-BioNTech) is being utilised internationally for mass COVID-19 vaccination. Evidence of single-dose protection…”
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High dimensional change point estimation via sparse projection by Wang, Tengyao, Samworth, Richard J.

“…Change points are a very common feature of 'big data' that arrive in the form of a data stream. We study high dimensional time series in which, at certain time…”
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OPTIMAL WEIGHTED NEAREST NEIGHBOUR CLASSIFIERS by Samworth, Richard J.

“…We derive an asymptotic expansion for the excess risk (regret) of a weighted nearest-neighbour classifier. This allows us to find the asymptotically optimal…”
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Recent Progress in Log-Concave Density Estimation by Samworth, Richard J.

“…In recent years, log-concave density estimation via maximum likelihood estimation has emerged as a fascinating alternative to traditional nonparametric…”
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STATISTICAL AND COMPUTATIONAL TRADE-OFFS IN ESTIMATION OF SPARSE PRINCIPAL COMPONENTS by Wang, Tengyao, Berthet, Quentin, Samworth, Richard J.

“…In recent years, sparse principal component analysis has emerged as an extremely popular dimension reduction technique for high-dimensional data. The…”
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High‐dimensional, multiscale online changepoint detection by Chen, Yudong, Wang, Tengyao, Samworth, Richard J.

“…We introduce a new method for high‐dimensional, online changepoint detection in settings where a p‐variate Gaussian data stream may undergo a change in mean…”
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Minimax rates in sparse, high-dimensional change point detection by Liu, Haoyang, Gao, Chao, Samworth, Richard J.

“…We study the detection of a sparse change in a high-dimensional mean vector as a minimax testing problem. Our first main contribution is to derive the exact…”
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EFFICIENT MULTIVARIATE ENTROPY ESTIMATION VIA k-NEAREST NEIGHBOUR DISTANCES by Berrett, Thomas B., Samworth, Richard J., Yuan, Ming

“…Many statistical procedures, including goodness-of-fit tests and methods for independent component analysis, rely critically on the estimation of the entropy…”
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ISOTONIC REGRESSION IN GENERAL DIMENSIONS by Han, Qiyang, Wang, Tengyao, Chatterjee, Sabyasachi, Samworth, Richard J.

“…We study the least squares regression function estimator over the class of real-valued functions on [0, 1] d that are increasing in each coordinate. For…”
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Isotonic regression with unknown permutations: Statistics, computation and adaptation by Pananjady, Ashwin, Samworth, Richard J.

“…Motivated by models for multiway comparison data, we consider the problem of estimating a coordinatewise isotonic function on the domain [0, 1]d from noisy…”
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Generalized additive and index models with shape constraints by Chen, Yining, Samworth, Richard J.

“…We study generalized additive models, with shape restrictions (e.g. monotonicity, convexity and concavity) imposed on each component of the additive prediction…”
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The conditional permutation test for independence while controlling for confounders by Berrett, Thomas B., Wang, Yi, Barber, Rina Foygel, Samworth, Richard J.

“…Summary   We propose a general new method, the conditional permutation test, for testing the conditional independence of variables X and Y given a potentially…”
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Random-projection ensemble classification by Cannings, Timothy I., Samworth, Richard J.

“…We introduce a very general method for high dimensional classification, based on careful combination of the results of applying an arbitrary base classifier to…”
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Inference in High-Dimensional Online Changepoint Detection by Chen, Yudong, Wang, Tengyao, Samworth, Richard J.

“…We introduce and study two new inferential challenges associated with the sequential detection of change in a high-dimensional mean vector. First, we seek a…”
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High‐dimensional principal component analysis with heterogeneous missingness by Zhu, Ziwei, Wang, Tengyao, Samworth, Richard J.

“…We study the problem of high‐dimensional Principal Component Analysis (PCA) with missing observations. In a simple, homogeneous observation model, we show that…”
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Variable selection with error control: another look at stability selection by Shah, Rajen D., Samworth, Richard J.

“…Stability selection was recently introduced by Meinshausen and Bühlmann as a very general technique designed to improve the performance of a variable selection…”
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High‐dimensional changepoint estimation with heterogeneous missingness by Follain, Bertille, Wang, Tengyao, Samworth, Richard J.

“…We propose a new method for changepoint estimation in partially observed, high‐dimensional time series that undergo a simultaneous change in mean in a sparse…”
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High-dimensional nonparametric density estimation via symmetry and shape constraints by Xu, Min, Samworth, Richard J.

“…We tackle the problem of high-dimensional nonparametric density estimation by taking the class of log-concave densities on Rp and incorporating within it…”
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