Larry Wasserman

15.3k citations
133 papers · 7.3k · 4 hit papers · h-index 37

Impact in

Papers in

    • Statistical Methods and Inference 62
    • Statistical Methods and Bayesian Inference 33
    • Advanced Statistical Methods and Models 23
    • Statistical Methods in Clinical Trials 18
    • Markov Chains and Monte Carlo Methods 10
    • Bayesian Methods and Mixture Models 23
    • Bayesian Modeling and Causal Inference 13

Larry Wasserman

126 papers receiving 6.9k citations

Larry Wasserman's Hit Papers

Distribution-Free Predictive Inference for Regression 2017 · 370 citations
3700+10+20Years since publication250500750

Peers

Larry Wasserman
Comparison fields: 5 of 219
  • Statistics and Probability 2.6k
  • Statistics, Probability and Uncertainty 436
  • Artificial Intelligence 1.8k
  • General Decision Sciences 93
  • Management Science and Operations Research 588
Replace Stuart Geman with:
Stuart Geman United States
Peter J. Green United Kingdom
Radford M. Neal Canada
Larry Wasserman United States
Matthew D. Hoffman United States
G. M. Clarke Australia
Persi Diaconis United States
A. Stuart United Kingdom
A. P. Dawid United Kingdom
David A. Freedman United States
Larry Wasserman relative to Stuart Geman United States Stuart Geman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Larry Wasserman

Since Specialization
Citations

This map shows the geographic impact of Larry Wasserman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Larry Wasserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Wasserman more than expected).

Fields of papers citing papers by Larry Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry Wasserman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Larry Wasserman. The network helps show where Larry Wasserman may publish in the future.

Co-authors

The 25 scholars most cited alongside Larry Wasserman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Larry Wasserman Line = papers co-authored together Larry Wasserman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion
Hit paper breakdown →
1995826
2
Bayesian Model Selection and Model Averaging
Hit paper breakdown →
2000664
3
All of Statistics
Hit paper breakdown →
2004595
4
Distribution-Free Predictive Inference for Regression
Hit paper breakdown →
2017370
5 2002369
6 2001346
7 1995339
8 2009307
9 2012283
10
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models.
2010217
11 2006193
12
All of Nonparametric Statistics (Springer Texts in Statistics)
2006145
13 2010120
14 2001106
15 2003105
16 200492
17
SpAM: Sparse Additive Models
200791
18 201677
19 200676
20 200575

About Larry Wasserman

Larry Wasserman is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Molecular Biology and Astronomy and Astrophysics, having authored 133 papers that have together received 7.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (62 papers), Statistical Methods and Bayesian Inference (33 papers), Bayesian Methods and Mixture Models (23 papers), Advanced Statistical Methods and Models (23 papers), Statistical Methods in Clinical Trials (18 papers), Bayesian Modeling and Causal Inference (13 papers), Gene expression and cancer classification (11 papers) and Markov Chains and Monte Carlo Methods (10 papers). The work is most often cited by research in Statistics and Probability (2.6k citations), Statistics, Probability and Uncertainty (436 citations), Artificial Intelligence (1.8k citations), General Decision Sciences (93 citations) and Management Science and Operations Research (588 citations). Larry Wasserman has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Christopher R. Genovese, Robert E. Kass, Kathryn Roeder, Isabella Verdinelli, John Lafferty, Bernie Devlin, Han Liu, Alessandro Rinaldo, Jing Lei and Ryan J. Tibshirani. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Monthly Notices of the Royal Astronomical Society, Biometrika and Electronic Journal of Statistics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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