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D-Index & Metrics

Mathematics

D-Index
44
Citations
45500
World Ranking
1518
National Ranking
106

Research.com Recognitions

  • 1992 - Fellow of the American Statistical Association (ASA)

Overview

Adrian F. M. Smith is affiliated with Imperial College London in the United Kingdom and specializes in the fields of Physics and Astronomy. Their research focus includes Nuclear and High Energy Physics as well as Radiation, contributing to a broad understanding of particle detection and nuclear physics applications.

The main topics covered in their work are:

  • Radiation Detection and Scintillator Technologies
  • Particle Detector Development and Performance
  • Nuclear Physics and Applications
  • Quantum Chromodynamics and Particle Interactions
  • Particle Physics Theoretical and Experimental Studies
  • Nuclear Physics Research Studies

Smith's recent scholarly output includes five papers published between 2021 and 2025. These are:

  • Electromagnetic calorimeters based on scintillating lead tungstate crystals for experiments at Jefferson Lab, 2021, published in Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
  • Pion electroproduction measurements in the nucleon resonance region, 2024, published in The European Physical Journal A
  • Willem van Zwet's contributions to the profession, 2021, published in The Annals of Statistics
  • Foreword, 2022, published in Pharmaceutical Statistics
  • Light Monitoring System for the Lead Tungstate Calorimeter in Hall D at Jefferson Lab, 2025, published in arXiv (Cornell University)

Frequent co-authors associated with Smith include В. В. Бердников, A. Asaturyan, H. Egiyan, L. Gan, and T. Horn, reflecting collaboration within experimental physics and instrumentation development communities.

Smith has contributed to a variety of publication venues, frequently publishing in:

  • Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
  • The European Physical Journal A
  • The Annals of Statistics
  • Pharmaceutical Statistics
  • arXiv (Cornell University)

In recognition of professional achievements, Adrian F. M. Smith was awarded the title of Fellow of the American Statistical Association (ASA) in 1992.

Best Publications

  • Novel approach to nonlinear/non-Gaussian Bayesian state estimation

    N. J. Gordon;D. J. Salmond;A. F. M. Smith

  • Sequential Monte Carlo methods in practice

    Arnaud Doucet;Nando De Freitas;Neil Gordon;Adrian Smith

  • Sampling-Based Approaches to Calculating Marginal Densities

    Alan E. Gelfand;Adrian F. M. Smith

  • Bayesian Computation Via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods

    A. F. M. Smith;G. O. Roberts

  • Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling

    Alan E. Gelfand;Susan E. Hills;Amy Racine-Poon;Adrian F. M. Smith

  • Bayesian statistics without tears: A sampling-resampling perspective

    A. F. M. Smith;Alan E. Gelfand

  • Hierarchical Bayesian Analysis of Changepoint Problems

    Bradley P. Carlin;Alan E. Gelfand;Adrian F. M. Smith

  • Bayesian Analysis of Constrained Parameter and Truncated Data Problems Using Gibbs Sampling

    Alan E. Gelfand;Adrian F. M. Smith;Tai-Ming Lee

  • Automatic Bayesian curve fitting

    D. G. T. Denison;B. K. Mallick;A. F. M. Smith

  • Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms

    G.O. Roberts;A.F.M. Smith

  • A Bayesian CART algorithm

    David G. T. Denison;Bani K. Mallick;Adrian F. M. Smith

  • Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler

    J. C. Wakefield;A. F. M. Smith;A. Racine-Poon;A. E. Gelfand

  • Bayesian Inference for Generalized Linear and Proportional Hazards Models Via Gibbs Sampling

    P. Dellaportas;A. F. M. Smith

  • Generative or Discriminative? Getting the Best of Both Worlds

    Julia Lasserre;Christopher M. Bishop;J. M. Bernardo;M. J. Bayarri

  • Bayesian Statistics 5.

    T. Leonard;J. M. Bernado;J. O. Berger;A. P. Dawid

  • Bayesian Nonparametric Inference for Random Distributions and Related Functions

    Unknown

  • Making mathematics count : the report of Professor Adrian Smith's inquiry into post-14 mathematics education

    Adrian Smith

  • Monitoring Renal Transplants: An Application of the Multiprocess Kalman Filter

    A. F. M. Smith;M. West

  • Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals

    CE Rasmussen;J. M. Bernardo;M. J. Bayarri;J. O. Berger

  • Bayesian computational methods

    Adrian Frederick Melhuish Smith

  • Bayesian Statistics 2.

    J. M. Bernardo;M. H. DeGroot;D. V. Lindley;A. F. M. Smith

Frequent Co-Authors

Alan E. Gelfand
Alan E. Gelfand Duke University
James O. Berger
James O. Berger Duke University
A. P. Dawid
A. P. Dawid University of Cambridge
Anthony O'Hagan
Anthony O'Hagan University of Sheffield
David Heckerman
David Heckerman Microsoft (United States)
Penelope Vounatsou
Penelope Vounatsou University of Basel
Jon Wakefield
Jon Wakefield University of Washington
Joseph B. Kadane
Joseph B. Kadane Carnegie Mellon University
Christopher M. Bishop
Christopher M. Bishop Microsoft (United States)
Nando de Freitas
Nando de Freitas DeepMind (United Kingdom)

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