Department of Statistics Papers
Parent: Department of Statistics, UCLA
eScholarship stats: Breakdown by Item for March through June, 2025
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 589 | 413 | 176 | 70.1% |
| 490131xj | The Causal Foundations of Structural Equation Modeling | 568 | 524 | 44 | 92.3% |
| 6gv9n38c | Causal Diagrams for Empirical Research | 468 | 197 | 271 | 42.1% |
| 2mk8r49v | Comparative Fit Indices in Structural Models | 467 | 408 | 59 | 87.4% |
| 7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 435 | 68 | 367 | 15.6% |
| 87t603ns | On Statistical Criteria: Theory, History, and Applications | 358 | 15 | 343 | 4.2% |
| 583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 350 | 45 | 305 | 12.9% |
| 8940b4k8 | Approximating the Distribution of Pareto Sums | 341 | 216 | 125 | 63.3% |
| 4r37990g | Multi-dimensional Point Process Models for Evaluating a Wildfire Hazard Index | 334 | 11 | 323 | 3.3% |
| 53n4f34m | Bayesian networks | 303 | 28 | 275 | 9.2% |
| 6cn677bx | Comparative Fit Indices in Structural Models | 263 | 41 | 222 | 15.6% |
| 24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 206 | 9 | 197 | 4.4% |
| 3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 190 | 132 | 58 | 69.5% |
| 8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 188 | 51 | 137 | 27.1% |
| 9q6553kr | Object Perception as Bayesian Inference | 178 | 121 | 57 | 68.0% |
| 9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 150 | 36 | 114 | 24.0% |
| 45h3t3t2 | Bias in Factor Score Regression and a Simple Solution | 132 | 53 | 79 | 40.2% |
| 8n57f107 | Image Parsing: Unifying Segmentation, Detection, and Recognition | 130 | 75 | 55 | 57.7% |
| 0789f7d3 | The Gifi System for Nonlinear Multivariate Analysis | 122 | 62 | 60 | 50.8% |
| 0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 120 | 84 | 36 | 70.0% |
| 4cg0k6g0 | Determination of Sample Size for Multilevel Model Design | 120 | 65 | 55 | 54.2% |
| 84j7c2w5 | Regression with Missing X's: A Review | 119 | 70 | 49 | 58.8% |
| 38m3m5pq | On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma | 118 | 24 | 94 | 20.3% |
| 2cs5m2sh | A Primer on Robust Regression | 113 | 65 | 48 | 57.5% |
| 4q74x3fr | The Foundations of Causal Inference | 113 | 10 | 103 | 8.8% |
| 0zj8s368 | Statistical Assumptions as Empirical Commitments | 111 | 34 | 77 | 30.6% |
| 23c604tb | A Scaled Difference Chi-square Test Statistic for Moment Structure Analysis | 108 | 17 | 91 | 15.7% |
| 3tv1b3bg | Transportability across studies: A formal approach | 108 | 25 | 83 | 23.1% |
| 7tn3p6jx | Causal Diagrams | 108 | 70 | 38 | 64.8% |
| 18j2x5zr | An Introduction to Causal Inference | 106 | 8 | 98 | 7.5% |
| 9qf971fw | An Introduction to Causal Inference | 104 | 11 | 93 | 10.6% |
| 2rj412j3 | Mate with the two Bishops in Kriegspiel | 102 | 68 | 34 | 66.7% |
| 5pk7v8c5 | What are Textons? | 102 | 10 | 92 | 9.8% |
| 76f0d1qz | Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic | 102 | 31 | 71 | 30.4% |
| 1gf0b3m7 | Simple and Canonical Correspondence Analysis Using the R Package anacor | 100 | 28 | 72 | 28.0% |
| 0hz9x8pc | The Mediation Formula: A guide to the assessment of causal pathways in nonlinear models | 99 | 88 | 11 | 88.9% |
| 9f06b02k | An Introduction to Causal Inference | 99 | 5 | 94 | 5.1% |
| 45x689gq | Identifiability of Path-Specific Effects | 98 | 14 | 84 | 14.3% |
| 9md8d0nm | Linear Models: A Useful \Microscope" for Causal Analysis | 98 | 7 | 91 | 7.1% |
| 7wg0k7xq | Applications of Convex Analysis to Multidimensional Scaling | 97 | 33 | 64 | 34.0% |
| 5wk4j60p | An Introduction to Causal Inference | 96 | 62 | 34 | 64.6% |
| 05n729v1 | Homogeneity Analysis in R: The Package homals | 95 | 5 | 90 | 5.3% |
| 4qp1p4j9 | CGM and insulin pump data to introduce classical and machine learning time series analysis concepts to students | 92 | 6 | 86 | 6.5% |
| 7pj7b53n | Converting Statistical Literacy Resources to Data Science Resources | 92 | 15 | 77 | 16.3% |
| 5qk1s0dv | Object Perception as Bayesian Inference | 91 | 49 | 42 | 53.8% |
| 6cp3673m | Structural counterfactuals: A brief introduction | 88 | 57 | 31 | 64.8% |
| 86n169xf | Women mathematicians in data-centric occupations (with a context) | 88 | 7 | 81 | 8.0% |
| 9050x4r4 | Reproducible Research. The Bottom Line | 87 | 5 | 82 | 5.7% |
| 3jq067x8 | Bounds on Treatment Effects from Studies with Imperfect Compliance | 86 | 22 | 64 | 25.6% |
| 8mv0h112 | Optimal Projective Three-Level Designs for Factor Screening and Interaction Detection | 86 | 50 | 36 | 58.1% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.