Department of Statistics Papers
Parent: Department of Statistics, UCLA
eScholarship stats: History by Item for March through June, 2026
| Item | Title | Total requests | 2026-06 | 2026-05 | 2026-04 | 2026-03 |
|---|---|---|---|---|---|---|
| 5f3177k0 | SOCRE: Statistics Online Computational Resource for Education | 1,013 | 215 | 203 | 340 | 255 |
| 27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 752 | 182 | 188 | 185 | 197 |
| 6d28n81g | Counting the Homeless in Los Angeles County | 733 | 154 | 558 | 13 | 8 |
| 6vh9k0cf | Probabilistic Evaluation of Counterfactual Queries | 471 | 149 | 128 | 116 | 78 |
| 6gv9n38c | Causal Diagrams for Empirical Research | 454 | 111 | 110 | 116 | 117 |
| 2mk8r49v | Comparative Fit Indices in Structural Models | 452 | 85 | 133 | 120 | 114 |
| 583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 403 | 88 | 110 | 104 | 101 |
| 6cn677bx | Comparative Fit Indices in Structural Models | 398 | 84 | 98 | 105 | 111 |
| 7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 380 | 71 | 98 | 109 | 102 |
| 4q74x3fr | The Foundations of Causal Inference | 366 | 70 | 135 | 94 | 67 |
| 4sk26297 | Show Me the Missing Data | 361 | 89 | 118 | 97 | 57 |
| 3m13p4nn | Direct and indirect effects | 331 | 65 | 95 | 97 | 74 |
| 87t603ns | On Statistical Criteria: Theory, History, and Applications | 307 | 52 | 75 | 86 | 94 |
| 8940b4k8 | Approximating the Distribution of Pareto Sums | 290 | 92 | 64 | 90 | 44 |
| 3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 289 | 53 | 101 | 71 | 64 |
| 53n4f34m | Bayesian networks | 257 | 50 | 77 | 64 | 66 |
| 24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 254 | 55 | 76 | 68 | 55 |
| 32f943tq | Technical Introduction: A Primer on Probabilistic Inference | 251 | 24 | 193 | 18 | 16 |
| 8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 249 | 33 | 53 | 87 | 76 |
| 45x689gq | Identifiability of Path-Specific Effects | 247 | 54 | 86 | 68 | 39 |
| 7tn3p6jx | Causal Diagrams | 246 | 55 | 59 | 53 | 79 |
| 38m3m5pq | On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma | 245 | 58 | 70 | 65 | 52 |
| 9q6553kr | Object Perception as Bayesian Inference | 243 | 41 | 52 | 80 | 70 |
| 65z429wc | Assessment and Propagation of Model Uncertainty | 240 | 45 | 92 | 58 | 45 |
| 3mw1p0mb | Slicing Regression: Dimension Reduction via Inverse Regression | 232 | 37 | 79 | 46 | 70 |
| 3tv1b3bg | Transportability across studies: A formal approach | 232 | 34 | 97 | 50 | 51 |
| 45h3t3t2 | Bias in Factor Score Regression and a Simple Solution | 231 | 53 | 74 | 54 | 50 |
| 0789f7d3 | The Gifi System for Nonlinear Multivariate Analysis | 229 | 53 | 57 | 65 | 54 |
| 86n169xf | Women mathematicians in data-centric occupations (with a context) | 227 | 49 | 76 | 60 | 42 |
| 1tg0s6nq | An Algorithm for Constructing Orthogonal and Nearly Orthogonal Arrays with Mixed Levels and Small Runs | 222 | 30 | 60 | 56 | 76 |
| 2rn8p5m5 | Discussing the Role of the Instructor and the Instructional designer in a Fully Asynchronous Statistics Course | 221 | 59 | 65 | 43 | 54 |
| 7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 220 | 43 | 62 | 64 | 51 |
| 00z042g1 | Optimal Search with Learning | 212 | 55 | 93 | 41 | 23 |
| 84j7c2w5 | Regression with Missing X's: A Review | 212 | 43 | 62 | 51 | 56 |
| 7pj7b53n | Converting Statistical Literacy Resources to Data Science Resources | 209 | 47 | 62 | 46 | 54 |
| 9w56v25f | Quantitative Analysis of Literary Styles | 204 | 29 | 47 | 71 | 57 |
| 1kc66353 | Complete Identification Methods for the Causal Hierarchy | 203 | 23 | 59 | 69 | 52 |
| 6mr5h564 | Vision as Bayesian Inference: Analysis by Synthesis? | 202 | 36 | 71 | 42 | 53 |
| 5pk7v8c5 | What are Textons? | 200 | 36 | 45 | 48 | 71 |
| 3jq067x8 | Bounds on Treatment Effects from Studies with Imperfect Compliance | 198 | 33 | 52 | 51 | 62 |
| 9zx9c72c | Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods | 196 | 20 | 42 | 69 | 65 |
| 23c604tb | A Scaled Difference Chi-square Test Statistic for Moment Structure Analysis | 193 | 45 | 62 | 39 | 47 |
| 4qp1p4j9 | CGM and insulin pump data to introduce classical and machine learning time series analysis concepts to students | 193 | 33 | 68 | 37 | 55 |
| 5qk1s0dv | Object Perception as Bayesian Inference | 189 | 42 | 65 | 37 | 45 |
| 3s62r0d6 | Simpson's Paradox: An Anatomy | 188 | 47 | 61 | 48 | 32 |
| 3f22z738 | On Pearson-Verification and the Chi-square Test | 184 | 19 | 58 | 71 | 36 |
| 9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 182 | 25 | 65 | 59 | 33 |
| 00k5w5b7 | One-step local quasi-likelihood estimation | 181 | 27 | 75 | 42 | 37 |
| 9nf203n4 | Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic | 178 | 28 | 52 | 52 | 46 |
| 0126w913 | A Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired | 175 | 23 | 78 | 33 | 41 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.