Department of Statistics Papers
Parent: Department of Statistics, UCLA
eScholarship stats: History by Item for September through December, 2024
Item | Title | Total requests | 2024-12 | 2024-11 | 2024-10 | 2024-09 |
---|---|---|---|---|---|---|
2mk8r49v | Comparative Fit Indices in Structural Models | 456 | 102 | 91 | 141 | 122 |
583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 367 | 73 | 90 | 88 | 116 |
87t603ns | On Statistical Criteria: Theory, History, and Applications | 295 | 58 | 67 | 81 | 89 |
7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 290 | 75 | 78 | 79 | 58 |
53n4f34m | Bayesian networks | 275 | 48 | 65 | 92 | 70 |
6gv9n38c | Causal Diagrams for Empirical Research | 243 | 51 | 58 | 60 | 74 |
27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 216 | 64 | 62 | 46 | 44 |
9q6553kr | Object Perception as Bayesian Inference | 216 | 34 | 51 | 71 | 60 |
8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 213 | 44 | 57 | 65 | 47 |
6cn677bx | Comparative Fit Indices in Structural Models | 187 | 53 | 45 | 54 | 35 |
24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 162 | 36 | 41 | 55 | 30 |
490131xj | The Causal Foundations of Structural Equation Modeling | 126 | 25 | 33 | 36 | 32 |
4bp1t13z | Designing Studies for Dose Response | 126 | 25 | 23 | 39 | 39 |
45x689gq | Identifiability of Path-Specific Effects | 123 | 34 | 29 | 30 | 30 |
3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 119 | 32 | 29 | 40 | 18 |
49m7794d | A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model | 99 | 30 | 17 | 29 | 23 |
65z429wc | Assessment and Propagation of Model Uncertainty | 93 | 16 | 29 | 28 | 20 |
7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 85 | 11 | 11 | 26 | 37 |
13k6x1w8 | Jakob Bernoulli's Theory of Inference | 80 | 19 | 18 | 30 | 13 |
8940b4k8 | Approximating the Distribution of Pareto Sums | 78 | 16 | 24 | 24 | 14 |
0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 77 | 14 | 17 | 29 | 17 |
2cs5m2sh | A Primer on Robust Regression | 77 | 13 | 19 | 24 | 21 |
4q74x3fr | The Foundations of Causal Inference | 77 | 14 | 21 | 22 | 20 |
2hw5r3tm | Why There Is No Statistical Test for Confounding, Why Many Think There Is, and Why They Are Almost Right | 76 | 14 | 18 | 31 | 13 |
29w3z5b6 | Geometrical Aspects of Multiple Correspondence Analysis: Implications for the Coordinate Scaling Debate | 72 | 17 | 18 | 24 | 13 |
4x788631 | A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data | 72 | 22 | 15 | 18 | 17 |
6xc0172f | Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods | 72 | 13 | 19 | 25 | 15 |
9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 72 | 20 | 19 | 17 | 16 |
0zj8s368 | Statistical Assumptions as Empirical Commitments | 71 | 13 | 8 | 30 | 20 |
7786134t | Statistics and the Modern Student | 71 | 11 | 13 | 25 | 22 |
3s62r0d6 | Simpson's Paradox: An Anatomy | 69 | 28 | 11 | 18 | 12 |
84j7c2w5 | Regression with Missing X's: A Review | 68 | 14 | 22 | 20 | 12 |
9zx0h8k6 | Aspects of Graphical Models Connected with Causality | 68 | 18 | 9 | 25 | 16 |
05n729v1 | Homogeneity Analysis in R: The Package homals | 67 | 10 | 15 | 24 | 18 |
0789f7d3 | The Gifi System for Nonlinear Multivariate Analysis | 67 | 17 | 13 | 16 | 21 |
7sw581hc | Sharp Quadratic Majorization in One Dimension | 66 | 16 | 11 | 22 | 17 |
3jq067x8 | Bounds on Treatment Effects from Studies with Imperfect Compliance | 63 | 14 | 12 | 22 | 15 |
7wg0k7xq | Applications of Convex Analysis to Multidimensional Scaling | 63 | 15 | 15 | 21 | 12 |
8j29393d | Variable Selection via Penalized Likelihood | 62 | 13 | 13 | 30 | 6 |
1gf0b3m7 | Simple and Canonical Correspondence Analysis Using the R Package anacor | 61 | 8 | 12 | 22 | 19 |
3mw1p0mb | Slicing Regression: Dimension Reduction via Inverse Regression | 60 | 7 | 21 | 22 | 10 |
5pk7v8c5 | What are Textons? | 59 | 15 | 12 | 17 | 15 |
2bz9c0zr | Comparing Robust Properties of A, D, E and G-Optimal Designs | 58 | 18 | 16 | 16 | 8 |
8gh5613r | Simpson's Paradox: An Anatomy | 58 | 8 | 3 | 41 | 6 |
3tv1b3bg | Transportability across studies: A formal approach | 56 | 14 | 10 | 21 | 11 |
5qk1s0dv | Object Perception as Bayesian Inference | 55 | 10 | 17 | 15 | 13 |
7tn3p6jx | Causal Diagrams | 55 | 7 | 18 | 20 | 10 |
45h3t3t2 | Bias in Factor Score Regression and a Simple Solution | 53 | 18 | 16 | 12 | 7 |
06h5156t | Statistical Software - Overview | 52 | 14 | 8 | 18 | 12 |
9050x4r4 | Reproducible Research. The Bottom Line | 52 | 12 | 13 | 12 | 15 |
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