Department of Statistics Papers
Parent: Department of Statistics, UCLA
eScholarship stats: Breakdown by Item for September through December, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 2mk8r49v | Comparative Fit Indices in Structural Models | 456 | 392 | 64 | 86.0% |
| 583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 367 | 43 | 324 | 11.7% |
| 87t603ns | On Statistical Criteria: Theory, History, and Applications | 295 | 6 | 289 | 2.0% |
| 7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 290 | 57 | 233 | 19.7% |
| 53n4f34m | Bayesian networks | 275 | 15 | 260 | 5.5% |
| 6gv9n38c | Causal Diagrams for Empirical Research | 243 | 173 | 70 | 71.2% |
| 27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 216 | 125 | 91 | 57.9% |
| 9q6553kr | Object Perception as Bayesian Inference | 216 | 184 | 32 | 85.2% |
| 8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 213 | 76 | 137 | 35.7% |
| 6cn677bx | Comparative Fit Indices in Structural Models | 187 | 4 | 183 | 2.1% |
| 24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 162 | 3 | 159 | 1.9% |
| 490131xj | The Causal Foundations of Structural Equation Modeling | 126 | 104 | 22 | 82.5% |
| 4bp1t13z | Designing Studies for Dose Response | 126 | 2 | 124 | 1.6% |
| 45x689gq | Identifiability of Path-Specific Effects | 123 | 27 | 96 | 22.0% |
| 3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 119 | 97 | 22 | 81.5% |
| 49m7794d | A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model | 99 | 85 | 14 | 85.9% |
| 65z429wc | Assessment and Propagation of Model Uncertainty | 93 | 20 | 73 | 21.5% |
| 7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 85 | 10 | 75 | 11.8% |
| 13k6x1w8 | Jakob Bernoulli's Theory of Inference | 80 | 3 | 77 | 3.8% |
| 8940b4k8 | Approximating the Distribution of Pareto Sums | 78 | 56 | 22 | 71.8% |
| 0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 77 | 55 | 22 | 71.4% |
| 2cs5m2sh | A Primer on Robust Regression | 77 | 53 | 24 | 68.8% |
| 4q74x3fr | The Foundations of Causal Inference | 77 | 12 | 65 | 15.6% |
| 2hw5r3tm | Why There Is No Statistical Test for Confounding, Why Many Think There Is, and Why They Are Almost Right | 76 | 22 | 54 | 28.9% |
| 29w3z5b6 | Geometrical Aspects of Multiple Correspondence Analysis: Implications for the Coordinate Scaling Debate | 72 | 65 | 7 | 90.3% |
| 4x788631 | A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data | 72 | 47 | 25 | 65.3% |
| 6xc0172f | Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods | 72 | 61 | 11 | 84.7% |
| 9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 72 | 2 | 70 | 2.8% |
| 0zj8s368 | Statistical Assumptions as Empirical Commitments | 71 | 51 | 20 | 71.8% |
| 7786134t | Statistics and the Modern Student | 71 | 52 | 19 | 73.2% |
| 3s62r0d6 | Simpson's Paradox: An Anatomy | 69 | 59 | 10 | 85.5% |
| 84j7c2w5 | Regression with Missing X's: A Review | 68 | 55 | 13 | 80.9% |
| 9zx0h8k6 | Aspects of Graphical Models Connected with Causality | 68 | 50 | 18 | 73.5% |
| 05n729v1 | Homogeneity Analysis in R: The Package homals | 67 | 5 | 62 | 7.5% |
| 0789f7d3 | The Gifi System for Nonlinear Multivariate Analysis | 67 | 54 | 13 | 80.6% |
| 7sw581hc | Sharp Quadratic Majorization in One Dimension | 66 | 1 | 65 | 1.5% |
| 3jq067x8 | Bounds on Treatment Effects from Studies with Imperfect Compliance | 63 | 22 | 41 | 34.9% |
| 7wg0k7xq | Applications of Convex Analysis to Multidimensional Scaling | 63 | 36 | 27 | 57.1% |
| 8j29393d | Variable Selection via Penalized Likelihood | 62 | 35 | 27 | 56.5% |
| 1gf0b3m7 | Simple and Canonical Correspondence Analysis Using the R Package anacor | 61 | 3 | 58 | 4.9% |
| 3mw1p0mb | Slicing Regression: Dimension Reduction via Inverse Regression | 60 | 53 | 7 | 88.3% |
| 5pk7v8c5 | What are Textons? | 59 | 2 | 57 | 3.4% |
| 2bz9c0zr | Comparing Robust Properties of A, D, E and G-Optimal Designs | 58 | 6 | 52 | 10.3% |
| 8gh5613r | Simpson's Paradox: An Anatomy | 58 | 16 | 42 | 27.6% |
| 3tv1b3bg | Transportability across studies: A formal approach | 56 | 12 | 44 | 21.4% |
| 5qk1s0dv | Object Perception as Bayesian Inference | 55 | 46 | 9 | 83.6% |
| 7tn3p6jx | Causal Diagrams | 55 | 50 | 5 | 90.9% |
| 45h3t3t2 | Bias in Factor Score Regression and a Simple Solution | 53 | 1 | 52 | 1.9% |
| 06h5156t | Statistical Software - Overview | 52 | 2 | 50 | 3.8% |
| 9050x4r4 | Reproducible Research. The Bottom Line | 52 | 6 | 46 | 11.5% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.