Department of Statistics, UCLA
Parent: UCLA
eScholarship stats: History by Item for October, 2024 through January, 2025
Item | Title | Total requests | 2025-01 | 2024-12 | 2024-11 | 2024-10 |
---|---|---|---|---|---|---|
2mk8r49v | Comparative Fit Indices in Structural Models | 433 | 86 | 115 | 91 | 141 |
3sr461nd | Fixed and Random Effects in Panel Data Using Structural Equations Models | 368 | 83 | 91 | 92 | 102 |
583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 362 | 104 | 80 | 90 | 88 |
7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 303 | 60 | 86 | 78 | 79 |
87t603ns | On Statistical Criteria: Theory, History, and Applications | 300 | 91 | 61 | 67 | 81 |
53n4f34m | Bayesian networks | 276 | 67 | 52 | 65 | 92 |
0pg6471b | Making sense of sensitivity: extending omitted variable bias | 253 | 68 | 71 | 62 | 52 |
6gv9n38c | Causal Diagrams for Empirical Research | 238 | 65 | 55 | 58 | 60 |
27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 221 | 44 | 69 | 62 | 46 |
6cn677bx | Comparative Fit Indices in Structural Models | 211 | 56 | 56 | 45 | 54 |
8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 202 | 31 | 49 | 57 | 65 |
9q6553kr | Object Perception as Bayesian Inference | 202 | 43 | 37 | 51 | 71 |
24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 193 | 55 | 42 | 41 | 55 |
6gr648np | Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data | 148 | 35 | 45 | 35 | 33 |
490131xj | The Causal Foundations of Structural Equation Modeling | 147 | 51 | 27 | 33 | 36 |
2bz9c0zr | Comparing Robust Properties of A, D, E and G-Optimal Designs | 136 | 86 | 18 | 16 | 16 |
3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 136 | 33 | 34 | 29 | 40 |
45x689gq | Identifiability of Path-Specific Effects | 116 | 22 | 35 | 29 | 30 |
4bp1t13z | Designing Studies for Dose Response | 112 | 22 | 28 | 23 | 39 |
49m7794d | A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model | 101 | 20 | 35 | 17 | 29 |
8940b4k8 | Approximating the Distribution of Pareto Sums | 98 | 27 | 23 | 24 | 24 |
65z429wc | Assessment and Propagation of Model Uncertainty | 96 | 23 | 16 | 29 | 28 |
13k6x1w8 | Jakob Bernoulli's Theory of Inference | 87 | 18 | 21 | 18 | 30 |
99b2s80w | Heider vs Simmel: Emergent Features in Dynamic Structures | 86 | 18 | 20 | 22 | 26 |
5h9374jn | Tool for tracking all-cause mortality and estimating excess mortality to support the COVID-19 pandemic response: All-cause mortality calculator for COVID-19 response | 84 | 19 | 22 | 18 | 25 |
84j7c2w5 | Regression with Missing X's: A Review | 84 | 28 | 14 | 22 | 20 |
3s62r0d6 | Simpson's Paradox: An Anatomy | 82 | 23 | 30 | 11 | 18 |
51v706k5 | Measuring Ethnic Bias: Can Misattribution-Based Tools from Social Psychology Reveal Group Biases that Economics Games Cannot? | 82 | 21 | 21 | 15 | 25 |
05n729v1 | Homogeneity Analysis in R: The Package homals | 81 | 27 | 15 | 15 | 24 |
0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 80 | 20 | 14 | 17 | 29 |
3tv1b3bg | Transportability across studies: A formal approach | 80 | 32 | 17 | 10 | 21 |
9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 80 | 22 | 22 | 19 | 17 |
80s9k72v | An accurate and robust imputation method scImpute for single-cell RNA-seq data | 79 | 22 | 17 | 13 | 27 |
5m64m4p5 | Introduction to Special Edition: The Future of the Textbook | 78 | 21 | 21 | 16 | 20 |
7wg0k7xq | Applications of Convex Analysis to Multidimensional Scaling | 78 | 22 | 20 | 15 | 21 |
3r63h452 | Discussions | 77 | 18 | 23 | 17 | 19 |
2cs5m2sh | A Primer on Robust Regression | 76 | 19 | 14 | 19 | 24 |
2hw5r3tm | Why There Is No Statistical Test for Confounding, Why Many Think There Is, and Why They Are Almost Right | 76 | 12 | 15 | 18 | 31 |
12m9z8c2 | The Racialization and Feminization of Poverty? | 75 | 19 | 17 | 13 | 26 |
6k3027b9 | Kernel-Based Regularized Least Squares in R ( KRLS ) and Stata ( krls ) | 75 | 17 | 17 | 17 | 24 |
6xc0172f | Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods | 75 | 18 | 13 | 19 | 25 |
29w3z5b6 | Geometrical Aspects of Multiple Correspondence Analysis: Implications for the Coordinate Scaling Debate | 72 | 13 | 17 | 18 | 24 |
2nt2p3dt | Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species. | 72 | 16 | 20 | 13 | 23 |
4q74x3fr | The Foundations of Causal Inference | 72 | 15 | 14 | 21 | 22 |
6st1j18s | Growing impact of wildfire on western US water supply | 72 | 23 | 17 | 13 | 19 |
6nx307ct | Comment | 71 | 17 | 18 | 13 | 23 |
9050x4r4 | Reproducible Research. The Bottom Line | 71 | 33 | 13 | 13 | 12 |
9zx0h8k6 | Aspects of Graphical Models Connected with Causality | 71 | 16 | 21 | 9 | 25 |
5pk7v8c5 | What are Textons? | 69 | 24 | 16 | 12 | 17 |
7tn3p6jx | Causal Diagrams | 68 | 21 | 9 | 18 | 20 |
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