John A. Hartigan
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American statistician
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John A. Hartiganmathematics Degrees
Mathematics
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Mathematics
John A. Hartigan's Degrees
- PhD Statistics University of California, Berkeley
- Masters Statistics University of California, Berkeley
- Bachelors Mathematics University of California, Berkeley
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Why Is John A. Hartigan Influential?
(Suggest an Edit or Addition)According to Wikipedia, John Anthony Hartigan is an Australian-American statistician, the Eugene Higgins Professor of Statistics emeritus at Yale University. He made fundamental contributions to clustering algorithms, including the famous Hartigan-Wong method and biclustering, and Bayesian statistics.
John A. Hartigan's Published Works
Published Works
- A k-means clustering algorithm (1979) (9626)
- Clustering Algorithms (1975) (4744)
- The Dip Test of Unimodality (1985) (1726)
- Direct Clustering of a Data Matrix (1972) (1174)
- A Bayesian Analysis for Change Point Problems (1993) (657)
- Statistical theory in clustering (1985) (355)
- Product Partition Models for Change Point Problems (1992) (307)
- MINIMUM MUTATION FITS TO A GIVEN TREE (1973) (258)
- A failure of likelihood asymptotics for normal mixtures (1985) (244)
- REPRESENTATION OF SIMILARITY MATRICES BY TREES (1967) (241)
- Consistency of Single Linkage for High-Density Clusters (1981) (219)
- Mosaics for Contingency Tables (1981) (202)
- Theories of Probability (1983) (196)
- Bayesian Inference Using Intervals of Measures (1981) (184)
- Statistical Analysis of Hominoid Molecular Evolution (1987) (180)
- Estimation of a Convex Density Contour in Two Dimensions (1987) (178)
- Representing Points in Many Dimensions by Trees and Castles (1981) (160)
- Percentage Points of a Test for Clusters (1969) (154)
- Printer graphics for clustering (1975) (154)
- Fairness in Employment Testing: Validity Generalization, Minority Issues, and the General Aptitude Test Battery (1989) (134)
- Using Subsample Values as Typical Values (1969) (132)
- Asymptotic Distributions for Clustering Criteria (1978) (127)
- Linear Bayesian Methods (1969) (122)
- Fairness in employment testing. (1989) (115)
- Invariant Prior Distributions (1964) (111)
- Clustering Algorithms@@@Cluster Analysis Algorithms@@@Classification and Clustering (1981) (110)
- A Mosaic of Television Ratings (1984) (109)
- Asynchronous distance between homologous DNA sequences. (1987) (108)
- Distribution Problems in Clustering (1977) (104)
- The maximum likelihood prior (1998) (100)
- Change points in the series of T4 counts prior to AIDS. (1995) (77)
- Estimating gene flow in island populations. (1996) (72)
- The runt test for multimodality (1992) (68)
- The number of graphs and a random graph with a given degree sequence (2010) (63)
- THE ASYMPTOTICALLY UNBIASED PRIOR DISTRIBUTION (1965) (55)
- An asymptotic formula for the number of non-negative integer matrices with prescribed row and column sums (2009) (51)
- [Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy]: Comment (1986) (46)
- Maximum entropy Gaussian approximations for the number of integer points and volumes of polytopes (2009) (44)
- NECESSARY AND SUFFICIENT CONDITIONS FOR ASYMPTOTIC JOINT NORMALITY OF A STATISTIC AND ITS SUBSAMPLE VALUES (1975) (40)
- Uniform priors on convex sets improve risk (2004) (38)
- P values: from suggestion to superstition (2016) (37)
- Choice models for predicting divisional winners in major league baseball (1993) (29)
- Reconstruction of Evolutionary Trees from Pairwise Distributions on Current Species (1992) (29)
- An omnibus test for departures from constant mean (1990) (26)
- Note on the Confidence-Prior of Welch and Peers (1966) (25)
- Uniform Convergence of the Empirical Distribution Function Over Convex Sets (1977) (25)
- Modal Blocks in Dentition of West Coast Mammals (1976) (24)
- Error Analysis by Replaced Samples (1971) (23)
- The MAP test for multimodality (1994) (21)
- Bounding the Maximum of Dependent Random Variables (2013) (18)
- Estimating gradient trees (2004) (18)
- Perturbed periodogram estimates of variance (1990) (17)
- Discrete noninformative priors (1994) (17)
- Identity by descent in island-mainland populations. (1995) (17)
- Piecewise analysis of patient survival after onset of AKI. (2013) (15)
- Bloc Voting in the United States Senate (2000) (14)
- Representing Points in Many Dimensions by Trees and Castles: Rejoinder (1981) (13)
- Locally uniform prior distributions (1996) (12)
- Testing for Antimodes (2000) (12)
- Asymptotic Normality of Posterior Distributions (1983) (11)
- Note on a Test of Monotone Association Insensitive to Outliers (1980) (11)
- Exact Confidence Intervals in Regression Problems with Independent Symmetric Errors (1970) (11)
- Inference From a Knockout Tournament (1968) (9)
- Probabilistic Completion of a Knockout Tournament (1966) (8)
- Linear Estimators in Change Point Problems (1994) (6)
- Distribution of the residual sum of squares in fitting inequalities. (1967) (6)
- Statistical Clustering (2000) (6)
- The Likelihood and Invariance Principles (1967) (6)
- [Statistical Analysis of Hominoid Molecular Evolution]: Rejoinder (1987) (5)
- Note on Discordant Observations (1968) (5)
- The case for fairness (1990) (5)
- Estimation by Ranking Parameters (1966) (4)
- Multinomial Distribution (2018) (3)
- Risk Prediction Tool for Assessing the Probability of Death or Myocardial Infarction in Patients With Stable Coronary Artery Disease. (2020) (3)
- Maximum Entropy Edgeworth Estimates of Volumes of Polytopes (2009) (3)
- The minimax bookie (1996) (2)
- Introduction: classification, probability and statistics (1996) (2)
- A Memory of John Tukey as a Teacher (2003) (1)
- Estimating Volumes of Remaining Fossil Fuel Resources: A Critical Review: Comment (1981) (1)
- Ranges of Prior Measures. (1979) (1)
- Conditioned Poisson distributions and the concentration of chromatic numbers (2011) (1)
- Discussion: On the Consistency of Bayes Estimates (1986) (1)
- Invariant Bayesian and non-Bayesian inversions (1962) (0)
- Tracking Chess Players' Abilities (1997) (0)
- Cluster Analysis by Brian Everitt; Clustering Algorithms by J. A. Hartigan (1976) (0)
- Asymptotic admissibility of priors and elliptic differential equations (2012) (0)
- Robustness of Bayes Methods (1983) (0)
- Uniformity Criteria for Selecting Decisions (1983) (0)
- Nonparametric Bayes Procedures (1983) (0)
- Yale University Department of Statistics (2012) (0)
- Many Normal Means (1983) (0)
- Race-Based Genomics Research in the U.S. and Mexico: (645302011-001) (2010) (0)
- United Nations Votes: A Clustering Example (1973) (0)
- Clustering of Directions Improves Goodness of Fit in Kinematic Data Collected in the Transverse Plane During Robot-Assisted Rehabilitation of Stroke Patients (2018) (0)
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What Schools Are Affiliated With John A. Hartigan?
John A. Hartigan is affiliated with the following schools: