Luke Tierney

Q: What Schools Are Affiliated With Luke Tierney

Luke Tierney is affiliated with the following schools: University of Minnesota, Cornell University, University of Iowa

Luke Tierney's AcademicInfluence.com Rankings

Luke Tierney

Computer Science

#1402

World Rank

#1450

Historical Rank

computer-science Degrees

Luke Tierney

Mathematics

#5340

World Rank

#7521

Historical Rank

Statistics

#397

World Rank

#465

Historical Rank

Measure Theory

#2531

World Rank

#3037

Historical Rank

mathematics Degrees

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Computer Science
Mathematics

Why Is Luke Tierney Influential?

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According to Wikipedia, Luke Tierney is an American statistician and computer scientist. A fellow of the Institute of Mathematical Statistics since 1988 and of the American Statistical Association since 1991, Tierney is currently a professor of statistics at the University of Iowa. Through his past work on programming languages such as R and Lisp, Tierney now holds a position on the developing team known as the R Core.

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Luke Tierney'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

Bioconductor: open software development for computational biology and bioinformatics (2004) (12224)
Markov Chains for Exploring Posterior Distributions (1994) (3996)
Accurate Approximations for Posterior Moments and Marginal Densities (1986) (2105)
A note on Metropolis-Hastings kernels for general state spaces (1998) (407)
Fully Exponential Laplace Approximations to Expectations and Variances of Nonpositive Functions (1989) (371)
Some adaptive monte carlo methods for Bayesian inference. (1999) (293)
Regeneration in Markov chain samplers (1995) (273)
The validity of posterior expansions based on Laplace''s method (1990) (236)
Lispstat: An Object-Orientated Environment for Statistical Computing and Dynamic Graphics (1990) (157)
State of the Art in Parallel Computing with R (2009) (156)
Simple Parallel Statistical Computing in R (2007) (123)
Approximate marginal densities of nonlinear functions (1989) (122)
Approximate methods for assessing influence and sensitivity in Bayesian analysis (1989) (119)
Exploring Posterior Distributions Using Markov Chains (1992) (106)
Efficiency and Convergence Properties of Slice Samplers (2002) (82)
A Space-Efficient Recursive Procedure for Estimating a Quantile of an Unknown Distribution (1983) (75)
Snow: A Parallel Computing Framework for the R System (2009) (72)
Rejoinder: Markov Chains for Exploring Posterior Distributions (1994) (46)
Computing and Displaying Isosurfaces in R (2008) (45)
On the use of auxiliary variables in Markov chain Monte Carlo sampling (1997) (40)
Asymptotic Properties of Maximum Likelihood Estimates in the Mixed Poisson Model (1984) (39)
THE R ENVIRONMENT FOR STATISTICAL COMPUTING (2001) (31)
MRI Tissue Classification Using High-Resolution Bayesian Hidden Markov Normal Mixture Models (2012) (30)
Boundary domination and the distribution of the largest nearest-neighbor link in higher dimensions (1986) (29)
The R Statistical Computing Environment (2012) (28)
Exact Transition Probabilities For The Independence Metropolis Sampler (1996) (27)
Regression diagnostics with dynamic graphics (with discussion) (1989) (26)
Regression Diagnostics with Dynamic Graphics: [With Discussions and Response] (1989) (20)
Markov Chain Monte Carlo Algorithms (2006) (18)
Asymptotic Efficiency of Estimators of Functionals of Mixed Distributions (1984) (16)
On automating Markov chain Monte Carlo for a class of spatial models (2012) (15)
mritc: A Package for MRI Tissue Classification (2011) (15)
Surveillance Search for a Moving Target (1983) (14)
Nonparametric maximum likelihood estimation from samples with irrelevant data and verification bias (1997) (10)
Compiling R: A Preliminary Report (2001) (10)
Some Notes on the Past and Future of Lisp-Stat (2005) (9)
Code analysis and parallelizing vector operations in R (2009) (8)
[Practical Markov Chain Monte Carlo]: Comment (1992) (8)
Xlisp-Stat - A Statistical Environment Based on the XLISP Language (Version 2.0) (1988) (8)
A Selection Artifact in Delinquency Data Revisited (1983) (8)
Changes in R by (2022) (7)
Editorial: Publishing Animations, 3D Visualizations, and Movies in JCGS (2010) (6)
Connecting Lisp-Stat to COM (2000) (5)
Lisp‐Stat (2010) (5)
Data Analysis Using Lisp-Stat (1995) (4)
Asymptotic Evaluation of Integrals Arising in Bayesian Inference (1992) (4)
A unified Bayesian hierarchical model for MRI tissue classification (2014) (3)
Pike's Peak gold rush guidebooks of 1859, (1974) (2)
The hazards of optimal proofreading (1983) (2)
Implicit and Explicit Parallel Computing in R (2008) (2)
Programming in Lisp (2008) (2)
On the convergence of Monte Carlo approximations to the posterior density: Essays in Honor of Arnold Zellner (1995) (1)
[Saddlepoint Methods and Statistical Inference]: Comment (1988) (1)
mlr: A new Package to conduct Machine Learning Experiments in R (2010) (1)
The Irish Dimension to Drug Use and HIV in Britain (1998) (1)
An Alternative Regularity Condition for Hajek's Representation Theorem (1987) (1)
Recent Developments and Future Directions in LispStat (1996) (1)
Appendix B: The XLISP‐STAT Implementation (2008) (0)
On the use of auxiliary variables inMarkov chain (2007) (0)
Acknowledgement of Priority: An Alternative Regularity Condition for Hajek's Representation Theorem (1988) (0)
Statistical Graphics Windows (2008) (0)
Appendix A: Answers to Selected Exercises (2008) (0)
Introduction to Combinatorial Theory.@@@Applied Combinatorics.@@@Introductory Combinatorics. (1985) (0)
Some Dyiramic Graphics Examples (2008) (0)
Windows, Menus, and Dialogs (2008) (0)
Metropolis-Hastings Kernels for General State Spaces (1995) (0)
A Word from our 2010 Section Chairs (2010) (0)
Overview of Some New R Language Features (2003) (0)
Convergence of Monte Carlo Approximations to the Posterior Density (1996) (0)
USING C WRAPPERS IN XLISP-STAT (1999) (0)
Goodness-of-fit inferences through posterior distribution explorations (1996) (0)
A Lisp‐Stat Tutorial (2008) (0)
Package ‘ mritc ’ May 27 , 2018 (2018) (0)
Additional Lisp Features (2008) (0)
Examining R Profiling Data: The proftools Package (2016) (0)
The 2.14 release of the R statistical language. (2011) (0)

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Other Resources About Luke Tierney

en.wikipedia.org

What Schools Are Affiliated With Luke Tierney?

Luke Tierney is affiliated with the following schools:

Luke Tierney's Academic­Influence.com Rankings

Why Is Luke Tierney Influential?

Luke Tierney's Published Works

Published Works

Other Resources About Luke Tierney

What Schools Are Affiliated With Luke Tierney?

Luke Tierney's AcademicInfluence.com Rankings