Richard Samworth
#37,191
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British statistician
Richard Samworth's AcademicInfluence.com Rankings
Richard Samworthmathematics Degrees
Mathematics
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Statistics
#280
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#339
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Mathematics
Why Is Richard Samworth Influential?
(Suggest an Edit or Addition)According to Wikipedia, Richard John Samworth is the Professor of Statistical Science and the Director of the Statistical Laboratory, University of Cambridge, and a Teaching Fellow of St John's College, Cambridge. He was educated at St John's College, Cambridge. His main research interests are in nonparametric and high-dimensional statistics. Particular topics include shape-constrained density estimation and other nonparametric function estimation problems, nonparametric classification, clustering and regression, the bootstrap and high-dimensional variable selection problems.
Richard Samworth's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A useful variant of the Davis--Kahan theorem for statisticians (2014) (457)
- Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission (2020) (448)
- Ultrahigh Dimensional Feature Selection: Beyond The Linear Model (2009) (418)
- Sure independence screening for ultrahigh dimensional feature space Discussion (2008) (297)
- Choice of neighbor order in nearest-neighbor classification (2008) (296)
- Variable selection with error control: another look at stability selection (2011) (292)
- Optimal weighted nearest neighbour classifiers (2011) (263)
- Maximum likelihood estimation of a multi‐dimensional log‐concave density (2008) (192)
- High dimensional change point estimation via sparse projection (2016) (184)
- Random‐projection ensemble classification (2015) (128)
- Statistical and computational trade-offs in estimation of sparse principal components (2014) (121)
- Efficient multivariate entropy estimation via $k$-nearest neighbour distances (2016) (101)
- Theoretical properties of the log-concave maximum likelihood estimator of a multidimensional density (2009) (101)
- Global rates of convergence in log-concave density estimation (2014) (100)
- Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis. (2015) (95)
- Robust inference with knockoffs (2018) (86)
- APPROXIMATION BY LOG-CONCAVE DISTRIBUTIONS, WITH APPLICATIONS TO REGRESSION (2010) (84)
- Isotonic regression in general dimensions (2017) (81)
- The conditional permutation test for independence while controlling for confounders (2018) (81)
- Generalized additive and index models with shape constraints (2014) (75)
- Importance tempering (2007) (74)
- Single-dose BNT162b2 vaccine protects against asymptomatic SARS-CoV-2 infection (2021) (69)
- Nonparametric independence testing via mutual information (2017) (68)
- Recent Progress in Log-Concave Density Estimation (2017) (66)
- Independent component analysis via nonparametric maximum likelihood estimation (2012) (61)
- Properties of bagged nearest neighbour classifiers (2005) (57)
- Ultrahigh Dimensional Variable Selection: beyond the linear model (2008) (56)
- Smoothed log-concave maximum likelihood estimation with applications (2011) (54)
- Asymptotics and optimal bandwidth selection for highest density region estimation (2010) (51)
- Central limit theorem and convergence to stable laws in Mallows distance (2004) (47)
- Adaptation in log-concave density estimation (2016) (43)
- LogConcDEAD: An R Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density (2009) (38)
- A note on methods of restoring consistency to the bootstrap (2003) (35)
- High‐dimensional principal component analysis with heterogeneous missingness (2019) (33)
- Local nearest neighbour classification with applications to semi-supervised learning (2017) (32)
- Minimax rates in sparse, high-dimensional change point detection (2019) (31)
- Estimation of adult skeletal age‐at‐death: statistical assumptions and applications (2007) (30)
- Confidence intervals for high-dimensional Cox models (2018) (27)
- High‐dimensional, multiscale online changepoint detection (2020) (27)
- Classification with imperfect training labels (2018) (24)
- Small confidence sets for the mean of a spherically symmetric distribution (2005) (24)
- A unifying tutorial on Approximate Message Passing (2021) (23)
- Sparse principal component analysis via axis‐aligned random projections (2017) (16)
- Optimal rates for independence testing via U-statistic permutation tests (2020) (16)
- Goodness‐of‐fit testing in high dimensional generalized linear models (2019) (16)
- The conditional permutation test (2018) (15)
- Editorial: Special Issue on “Nonparametric Inference Under Shape Constraints” (2018) (15)
- Adaptation in multivariate log-concave density estimation (2018) (14)
- Isotonic regression with unknown permutations: Statistics, computation, and adaptation (2020) (14)
- High-dimensional nonparametric density estimation via symmetry and shape constraints (2019) (13)
- Stochastic search for semiparametric linear regression models (2011) (12)
- Convergence of the empirical process in Mallows distance, with an application to bootstrap performance (2004) (11)
- Efficient two-sample functional estimation and the super-oracle phenomenon (2019) (11)
- Bounding distributional errors via density ratios (2019) (10)
- Understanding past ocean circulations: a nonparametric regression case study (2005) (9)
- Peter Hall’s work on high-dimensional data and classification (2016) (8)
- USP: an independence test that improves on Pearson’s chi-squared and the G-test (2021) (7)
- Local continuity of log-concave projection, with applications to estimation under model misspecification (2020) (6)
- Multicentre study of physical abuse and limb fractures in young children in the East Anglia Region, UK (2019) (6)
- Author response: Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission (2020) (6)
- Goodness-offit testing in high-dimensional generalized linear models (2019) (6)
- Feasibility and efficacy of mass testing for SARS-CoV-2 in a UK university using swab pooling and PCR (2021) (6)
- Discussion of ‘Correlated variables in regression: Clustering and sparse estimation’ by Peter Bühlmann, Philipp Rütimann, Sara van de Geer and Cun-Hui Zhang (2013) (5)
- Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission (2022) (5)
- High‐dimensional changepoint estimation with heterogeneous missingness (2021) (5)
- The Projected Covariance Measure for assumption-lean variable significance testing (2022) (4)
- Sparse principal component analysis via random projections (2017) (3)
- A new computational framework for log-concave density estimation (2021) (3)
- CHOICE OF NEIGHBOUR ORDER FOR NEAREST-NEIGHBOUR CLASSIFICATION RULE (3)
- A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis. (2018) (3)
- Optimal subgroup selection (2021) (3)
- The empirical process in Mallows distance, with application to goodness-of-fit tests (2005) (2)
- Comments on: High-dimensional simultaneous inference with the bootstrap (2017) (2)
- A Conversation with Jon Wellner (2018) (2)
- Inference in High-dimensional Online Changepoint Detection (2021) (1)
- Discussion of ‘An adaptive resampling test for detecting the presence of significant predictors’ by I. W. McKeague and M. Qian (2016) (1)
- SUPPLEMENTARY MATERIAL TO ‘ ADAPTATION IN LOG-CONCAVE DENSITY ESTIMATION ’ By (2017) (1)
- Nonparametric, tuning‐free estimation of S‐shaped functions (2021) (1)
- Random‐projection ensemble classification Series B Statistical methodology (2017) (1)
- Index of authors, volume 79, 2017 (2017) (1)
- Submitted to the Annals of Statistics SUPPLEMENTARY MATERIAL TO ‘ ISOTONIC REGRESSION IN GENERAL DIMENSIONS ’ By Qiyang (2018) (0)
- Discussion of Adaptive confidence intervals for the test error in classification by Laber and Murphy (2011) (0)
- Multiple Myeloma Subtyping That Associates Normal B-Cell Subset Phenotypes, do Correlate to Disease Stage and Prognosis: Indication of Reversible Phenotypic Plasticity as a Hallmark (2015) (0)
- M ay 2 01 9 Classification with imperfect training labels (2019) (0)
- Preface: Section of memorial articles for Willem van Zwet (2021) (0)
- A new multiple myeloma classification system that correlates to disease stage and prognosis: Indication of reversible phenotypic plasticity as a hallmark (2016) (0)
- Adaptive transfer learning (2021) (0)
- Statistical Theory (M16) (2005) (0)
- Handbook of Big Data (2016) (0)
- Comment (2011) (0)
- Computationally and Efficient Inference for Complex Large-scale Data (2016) (0)
- Submitted to the Annals of Statistics STATISTICAL AND COMPUTATIONAL TRADE-OFFS IN ESTIMATION OF SPARSE PRINCIPAL COMPONENTS By (2015) (0)
- Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility (2022) (0)
- Statistics meets Machine Learning (2021) (0)
- Handbook of Big Data [Book review] (2016) (0)
- Isotopic Constraints on the Neogene Flow of Northern Component Water (2004) (0)
- Multiple myeloma subtyping that associatesnormal B-cell subset phenotypes, do correlate to disease stage and prognosis (2015) (0)
- Comments on: High-dimensional simultaneous inference with the bootstrap (2017) (0)
- ISOTONIC REGRESSION IN GENERAL DIMENSIONS By Qiyang (2018) (0)
- Author response: Single-dose BNT162b2 vaccine protects against asymptomatic SARS-CoV-2 infection (2021) (0)
- Sure Independence Screening [R package SIS version 0.8-8] (2020) (0)
- 1 2 Fe b 20 18 Robust inference with knockoffs (2018) (0)
- A Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes with Prognosis (2014) (0)
- Statistical methodology and theory for the Big Data era - EPSRC (2018) (0)
- Editorial: Memorial issue for Charles Stein (2021) (0)
- Challenges in comparing physical abuse, fractures and metabolic bone disease in young children in the UK and Sweden (2019) (0)
- Non-generalizability of biomarkers for mortality in SARS-CoV-2: a meta-analyses series (2022) (0)
- Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning (2023) (0)
- Statistical Theory (M24) (2005) (0)
- Submitted to the Annals of Statistics ROBUST INFERENCE WITH KNOCKOFFS By Rina (2019) (0)
- ST ] 3 0 A ug 2 01 7 Isotonic regression in general dimensions Qiyang (2017) (0)
- Efficient functional estimation and the super-oracle phenomenon (2019) (0)
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Richard Samworth is affiliated with the following schools:
