Department of Statistics Papers
Parent: Department of Statistics & Data Science, UCLA
eScholarship stats: History by Item for July through October, 2026
| Item | Title | Total requests | 2026-10 | 2026-09 | 2026-08 | 2026-07 |
|---|---|---|---|---|---|---|
| 27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 795 | 284 | 153 | 220 | 138 |
| 6gv9n38c | Causal Diagrams for Empirical Research | 645 | 194 | 192 | 157 | 102 |
| 4q74x3fr | The Foundations of Causal Inference | 603 | 198 | 174 | 139 | 92 |
| 5f3177k0 | SOCRE: Statistics Online Computational Resource for Education | 567 | 218 | 126 | 120 | 103 |
| 2mk8r49v | Comparative Fit Indices in Structural Models | 533 | 102 | 94 | 167 | 170 |
| 7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 518 | 145 | 142 | 160 | 71 |
| 6vh9k0cf | Probabilistic Evaluation of Counterfactual Queries | 453 | 47 | 57 | 66 | 283 |
| 45x689gq | Identifiability of Path-Specific Effects | 416 | 136 | 129 | 108 | 43 |
| 1kc66353 | Complete Identification Methods for the Causal Hierarchy | 402 | 101 | 154 | 116 | 31 |
| 65z429wc | Assessment and Propagation of Model Uncertainty | 395 | 99 | 63 | 146 | 87 |
| 45h3t3t2 | Bias in Factor Score Regression and a Simple Solution | 393 | 69 | 115 | 172 | 37 |
| 6cn677bx | Comparative Fit Indices in Structural Models | 386 | 61 | 49 | 225 | 51 |
| 83p9h12v | Multidimensional Scaling | 364 | 53 | 87 | 161 | 63 |
| 36w8n7pg | Causal inference in statistics: An overview | 341 | 167 | 77 | 67 | 30 |
| 1pw2x4j7 | Legalized Abortion and the Homicide of Young Children: An Empirical Investigation | 330 | 93 | 106 | 107 | 24 |
| 7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 330 | 93 | 80 | 87 | 70 |
| 490131xj | The Causal Foundations of Structural Equation Modeling | 328 | 84 | 71 | 92 | 81 |
| 583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 327 | 110 | 83 | 87 | 47 |
| 3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 323 | 67 | 68 | 106 | 82 |
| 8940b4k8 | Approximating the Distribution of Pareto Sums | 319 | 157 | 53 | 63 | 46 |
| 9598x714 | Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models | 308 | 76 | 99 | 100 | 33 |
| 3tv1b3bg | Transportability across studies: A formal approach | 297 | 69 | 62 | 102 | 64 |
| 17r754xz | A General identification condition for causal effects | 296 | 135 | 55 | 83 | 23 |
| 87t603ns | On Statistical Criteria: Theory, History, and Applications | 294 | 87 | 110 | 69 | 28 |
| 84j7c2w5 | Regression with Missing X's: A Review | 284 | 111 | 36 | 84 | 53 |
| 8n57f107 | Image Parsing: Unifying Segmentation, Detection, and Recognition | 282 | 32 | 62 | 139 | 49 |
| 2m50f2fb | Dynamic Textures | 276 | 48 | 27 | 103 | 98 |
| 9jg8x22k | The mathematics of causal inference | 275 | 142 | 76 | 41 | 16 |
| 5wk4j60p | An Introduction to Causal Inference | 274 | 83 | 78 | 85 | 28 |
| 6nv2744w | On the Consistency Rule in Causal Inference: An Axiom, Definition, Assumption, or a Theorem? | 271 | 46 | 85 | 98 | 42 |
| 9q6553kr | Object Perception as Bayesian Inference | 270 | 63 | 37 | 101 | 69 |
| 2hw5r3tm | Why There Is No Statistical Test for Confounding, Why Many Think There Is, and Why They Are Almost Right | 265 | 101 | 85 | 43 | 36 |
| 1g84199d | Probabilistic Models of Cognition: Conceptual Foundations | 264 | 98 | 30 | 36 | 100 |
| 3s62r0d6 | Simpson's Paradox: An Anatomy | 260 | 80 | 71 | 60 | 49 |
| 53n4f34m | Bayesian networks | 260 | 59 | 49 | 101 | 51 |
| 9z64v481 | Multidimensional Scaling Using Majorization: SMACOF in R | 259 | 63 | 113 | 64 | 19 |
| 3f22z738 | On Pearson-Verification and the Chi-square Test | 256 | 59 | 63 | 98 | 36 |
| 40p8s1nw | Latent Variable Modeling in Heterogeneous Populations | 254 | 67 | 35 | 78 | 74 |
| 4sk26297 | Show Me the Missing Data | 253 | 78 | 57 | 68 | 50 |
| 18c7q1j2 | Determination of the Accuracy of the Observations | 236 | 46 | 94 | 87 | 9 |
| 7n0494s4 | Generalized Varying-Coefficient Models | 236 | 101 | 42 | 57 | 36 |
| 3m13p4nn | Direct and indirect effects | 235 | 74 | 29 | 70 | 62 |
| 3jq067x8 | Bounds on Treatment Effects from Studies with Imperfect Compliance | 234 | 81 | 51 | 67 | 35 |
| 4x788631 | A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data | 224 | 29 | 15 | 64 | 116 |
| 9zx9c72c | Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods | 224 | 59 | 56 | 84 | 25 |
| 2rn0420q | Nonparametric Bounds on Causal Effects from Partial Compliance Data | 216 | 77 | 81 | 42 | 16 |
| 0hz9x8pc | The Mediation Formula: A guide to the assessment of causal pathways in nonlinear models | 212 | 65 | 49 | 65 | 33 |
| 7wg0k7xq | Applications of Convex Analysis to Multidimensional Scaling | 206 | 52 | 41 | 63 | 50 |
| 1tg0s6nq | An Algorithm for Constructing Orthogonal and Nearly Orthogonal Arrays with Mixed Levels and Small Runs | 201 | 68 | 47 | 47 | 39 |
| 2rj412j3 | Mate with the two Bishops in Kriegspiel | 201 | 24 | 105 | 58 | 14 |
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