Department of Statistics, UCLA

Parent: UCLA

eScholarship stats: History by Item for July through October, 2024

Item	Title	Total requests	2024-10	2024-09	2024-08	2024-07
2rj412j3	Mate with the two Bishops in Kriegspiel	949	9	7	928	5
2mk8r49v	Comparative Fit Indices in Structural Models	557	141	122	133	161
3sr461nd	Fixed and Random Effects in Panel Data Using Structural Equations Models	425	102	77	106	140
583610fv	A Generalized Definition of the Polychoric Correlation Coefficient	405	88	116	106	95
7qp4604r	The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate	299	79	58	100	62
6gv9n38c	Causal Diagrams for Empirical Research	294	60	74	83	77
87t603ns	On Statistical Criteria: Theory, History, and Applications	289	81	89	68	51
0pg6471b	Making sense of sensitivity: extending omitted variable bias	276	52	54	90	80
53n4f34m	Bayesian networks	266	92	70	54	50
9q6553kr	Object Perception as Bayesian Inference	223	71	60	35	57
27s1d3h7	Robust Statistical Modeling Using the t- Distribution	216	46	44	66	60
8cs5815x	Vision as Bayesian Inference: Analysis by Synthesis?	206	65	47	48	46
24w7k7m1	Mahalanobis' Distance Beyond Normal Distributions	195	55	30	63	47
6cn677bx	Comparative Fit Indices in Structural Models	192	54	35	42	61
4bp1t13z	Designing Studies for Dose Response	180	39	39	57	45
7j01t5sf	On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient	165	26	37	46	56
0tg4t8bd	Recent Developments in Causal Inference and Machine Learning	151	40	31	40	40
0789f7d3	The Gifi System for Nonlinear Multivariate Analysis	145	16	21	56	52
490131xj	The Causal Foundations of Structural Equation Modeling	144	36	32	31	45
3141h70c	Scaling Corrections for Statistics in Covariance Structure Analysis	138	40	18	38	42
6gr648np	Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data	131	33	22	35	41
49m7794d	A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model	125	29	23	37	36
65z429wc	Assessment and Propagation of Model Uncertainty	122	28	20	35	39
2cs5m2sh	A Primer on Robust Regression	114	24	21	32	37
45x689gq	Identifiability of Path-Specific Effects	113	30	30	36	17
99b2s80w	Heider vs Simmel: Emergent Features in Dynamic Structures	112	26	19	29	38
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?	107	22	14	46	25
05n729v1	Homogeneity Analysis in R: The Package homals	103	24	18	16	45
0zj8s368	Statistical Assumptions as Empirical Commitments	102	30	20	28	24
0fd986xb	Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike	96	29	17	31	19
9nh0d6wj	Probabilities of Causation: Three Counterfactual Interpretations and their Identification	96	17	16	39	24
3mw1p0mb	Slicing Regression: Dimension Reduction via Inverse Regression	95	22	10	38	25
6st1j18s	Growing impact of wildfire on western US water supply	95	19	21	32	23
1gf0b3m7	Simple and Canonical Correspondence Analysis Using the R Package anacor	94	22	19	19	34
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	94	25	20	32	17
1gp5n7r0	Methods for Inference from Respondent-Driven Sampling Data	93	25	22	22	24
80s9k72v	An accurate and robust imputation method scImpute for single-cell RNA-seq data	92	27	19	28	18
23c604tb	A Scaled Difference Chi-square Test Statistic for Moment Structure Analysis	91	23	12	33	23
52b8201d	Decadal predictability of late winter precipitation in western Europe through an ocean–jet stream connection	90	24	15	25	26
7786134t	Statistics and the Modern Student	90	25	22	21	22
84j7c2w5	Regression with Missing X's: A Review	90	20	12	30	28
51v706k5	Measuring Ethnic Bias: Can Misattribution-Based Tools from Social Psychology Reveal Group Biases that Economics Games Cannot?	88	25	14	27	22
12m9z8c2	The Racialization and Feminization of Poverty?	87	26	11	24	26
4q74x3fr	The Foundations of Causal Inference	86	22	20	23	21
5m64m4p5	Introduction to Special Edition: The Future of the Textbook	86	20	19	22	25
3r63h452	Discussions	85	19	16	24	26
6k3027b9	Kernel-Based Regularized Least Squares in R ( KRLS ) and Stata ( krls )	85	24	11	27	23
6nx307ct	Comment	84	23	16	19	26
06h5156t	Statistical Software - Overview	83	18	12	26	27
4x788631	A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data	83	18	17	23	25

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