Department of Statistics, UCLA
Parent: UCLA
eScholarship stats: History by Item for August through November, 2024
Item | Title | Total requests | 2024-11 | 2024-10 | 2024-09 | 2024-08 |
---|---|---|---|---|---|---|
2rj412j3 | Mate with the two Bishops in Kriegspiel | 953 | 9 | 9 | 7 | 928 |
2mk8r49v | Comparative Fit Indices in Structural Models | 487 | 91 | 141 | 122 | 133 |
583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 400 | 90 | 88 | 116 | 106 |
3sr461nd | Fixed and Random Effects in Panel Data Using Structural Equations Models | 377 | 92 | 102 | 77 | 106 |
7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 315 | 78 | 79 | 58 | 100 |
87t603ns | On Statistical Criteria: Theory, History, and Applications | 305 | 67 | 81 | 89 | 68 |
53n4f34m | Bayesian networks | 281 | 65 | 92 | 70 | 54 |
6gv9n38c | Causal Diagrams for Empirical Research | 275 | 58 | 60 | 74 | 83 |
0pg6471b | Making sense of sensitivity: extending omitted variable bias | 258 | 62 | 52 | 54 | 90 |
27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 218 | 62 | 46 | 44 | 66 |
8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 217 | 57 | 65 | 47 | 48 |
9q6553kr | Object Perception as Bayesian Inference | 217 | 51 | 71 | 60 | 35 |
24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 189 | 41 | 55 | 30 | 63 |
6cn677bx | Comparative Fit Indices in Structural Models | 176 | 45 | 54 | 35 | 42 |
4bp1t13z | Designing Studies for Dose Response | 158 | 23 | 39 | 39 | 57 |
490131xj | The Causal Foundations of Structural Equation Modeling | 132 | 33 | 36 | 32 | 31 |
3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 125 | 29 | 40 | 18 | 38 |
45x689gq | Identifiability of Path-Specific Effects | 125 | 29 | 30 | 30 | 36 |
6gr648np | Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data | 125 | 35 | 33 | 22 | 35 |
7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 120 | 11 | 26 | 37 | 46 |
0tg4t8bd | Recent Developments in Causal Inference and Machine Learning | 117 | 6 | 40 | 31 | 40 |
65z429wc | Assessment and Propagation of Model Uncertainty | 112 | 29 | 28 | 20 | 35 |
0789f7d3 | The Gifi System for Nonlinear Multivariate Analysis | 106 | 13 | 16 | 21 | 56 |
49m7794d | A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model | 106 | 17 | 29 | 23 | 37 |
2cs5m2sh | A Primer on Robust Regression | 96 | 19 | 24 | 21 | 32 |
8t51b39q | Emergent constraints on the large scale atmospheric circulation and regional hydroclimate: do they still work in CMIP6 and how much can they actually constrain the future? | 96 | 14 | 22 | 14 | 46 |
99b2s80w | Heider vs Simmel: Emergent Features in Dynamic Structures | 96 | 22 | 26 | 19 | 29 |
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 | 95 | 18 | 25 | 20 | 32 |
0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 94 | 17 | 29 | 17 | 31 |
3mw1p0mb | Slicing Regression: Dimension Reduction via Inverse Regression | 91 | 21 | 22 | 10 | 38 |
9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 91 | 19 | 17 | 16 | 39 |
80s9k72v | An accurate and robust imputation method scImpute for single-cell RNA-seq data | 87 | 13 | 27 | 19 | 28 |
0zj8s368 | Statistical Assumptions as Empirical Commitments | 86 | 8 | 30 | 20 | 28 |
4q74x3fr | The Foundations of Causal Inference | 86 | 21 | 22 | 20 | 23 |
6st1j18s | Growing impact of wildfire on western US water supply | 85 | 13 | 19 | 21 | 32 |
1gp5n7r0 | Methods for Inference from Respondent-Driven Sampling Data | 84 | 15 | 25 | 22 | 22 |
84j7c2w5 | Regression with Missing X's: A Review | 84 | 22 | 20 | 12 | 30 |
29w3z5b6 | Geometrical Aspects of Multiple Correspondence Analysis: Implications for the Coordinate Scaling Debate | 83 | 18 | 24 | 13 | 28 |
51v706k5 | Measuring Ethnic Bias: Can Misattribution-Based Tools from Social Psychology Reveal Group Biases that Economics Games Cannot? | 81 | 15 | 25 | 14 | 27 |
7786134t | Statistics and the Modern Student | 81 | 13 | 25 | 22 | 21 |
6k3027b9 | Kernel-Based Regularized Least Squares in R ( KRLS ) and Stata ( krls ) | 79 | 17 | 24 | 11 | 27 |
13k6x1w8 | Jakob Bernoulli's Theory of Inference | 78 | 18 | 30 | 13 | 17 |
1p3837fg | Understanding networks with exponential-family random network models | 78 | 22 | 18 | 6 | 32 |
7wg0k7xq | Applications of Convex Analysis to Multidimensional Scaling | 78 | 15 | 21 | 12 | 30 |
52b8201d | Decadal predictability of late winter precipitation in western Europe through an ocean–jet stream connection | 77 | 13 | 24 | 15 | 25 |
5m64m4p5 | Introduction to Special Edition: The Future of the Textbook | 77 | 16 | 20 | 19 | 22 |
8940b4k8 | Approximating the Distribution of Pareto Sums | 77 | 24 | 24 | 14 | 15 |
3r63h452 | Discussions | 76 | 17 | 19 | 16 | 24 |
6xc0172f | Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods | 76 | 19 | 25 | 15 | 17 |
3jq067x8 | Bounds on Treatment Effects from Studies with Imperfect Compliance | 75 | 12 | 22 | 15 | 26 |
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