Department of Statistics Papers

Parent: Department of Statistics & Data Science, UCLA

eScholarship stats: Breakdown by Item for July through October, 2026

Item	Title	Total requests	Download	View-only	%Dnld
27s1d3h7	Robust Statistical Modeling Using the t- Distribution	799	398	401	49.8%
6gv9n38c	Causal Diagrams for Empirical Research	651	315	336	48.4%
4q74x3fr	The Foundations of Causal Inference	607	51	556	8.4%
5f3177k0	SOCRE: Statistics Online Computational Resource for Education	567	23	544	4.1%
2mk8r49v	Comparative Fit Indices in Structural Models	538	405	133	75.3%
7qp4604r	The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate	526	112	414	21.3%
6vh9k0cf	Probabilistic Evaluation of Counterfactual Queries	454	190	264	41.9%
45x689gq	Identifiability of Path-Specific Effects	419	111	308	26.5%
1kc66353	Complete Identification Methods for the Causal Hierarchy	402	59	343	14.7%
65z429wc	Assessment and Propagation of Model Uncertainty	395	133	262	33.7%
45h3t3t2	Bias in Factor Score Regression and a Simple Solution	393	27	366	6.9%
6cn677bx	Comparative Fit Indices in Structural Models	392	87	305	22.2%
83p9h12v	Multidimensional Scaling	366	27	339	7.4%
36w8n7pg	Causal inference in statistics: An overview	347	129	218	37.2%
1pw2x4j7	Legalized Abortion and the Homicide of Young Children: An Empirical Investigation	333	35	298	10.5%
490131xj	The Causal Foundations of Structural Equation Modeling	331	250	81	75.5%
7j01t5sf	On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient	331	48	283	14.5%
3141h70c	Scaling Corrections for Statistics in Covariance Structure Analysis	327	211	116	64.5%
583610fv	A Generalized Definition of the Polychoric Correlation Coefficient	327	93	234	28.4%
8940b4k8	Approximating the Distribution of Pareto Sums	323	86	237	26.6%
9598x714	Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models	309	43	266	13.9%
3tv1b3bg	Transportability across studies: A formal approach	304	77	227	25.3%
17r754xz	A General identification condition for causal effects	301	50	251	16.6%
87t603ns	On Statistical Criteria: Theory, History, and Applications	297	47	250	15.8%
84j7c2w5	Regression with Missing X's: A Review	286	138	148	48.3%
8n57f107	Image Parsing: Unifying Segmentation, Detection, and Recognition	283	48	235	17.0%
5wk4j60p	An Introduction to Causal Inference	278	57	221	20.5%
2m50f2fb	Dynamic Textures	276	48	228	17.4%
9jg8x22k	The mathematics of causal inference	276	213	63	77.2%
6nv2744w	On the Consistency Rule in Causal Inference: An Axiom, Definition, Assumption, or a Theorem?	273	163	110	59.7%
9q6553kr	Object Perception as Bayesian Inference	272	221	51	81.3%
1g84199d	Probabilistic Models of Cognition: Conceptual Foundations	267	74	193	27.7%
2hw5r3tm	Why There Is No Statistical Test for Confounding, Why Many Think There Is, and Why They Are Almost Right	265	51	214	19.2%
3s62r0d6	Simpson's Paradox: An Anatomy	265	140	125	52.8%
53n4f34m	Bayesian networks	262	31	231	11.8%
9z64v481	Multidimensional Scaling Using Majorization: SMACOF in R	259	39	220	15.1%
3f22z738	On Pearson-Verification and the Chi-square Test	258	28	230	10.9%
4sk26297	Show Me the Missing Data	257	148	109	57.6%
40p8s1nw	Latent Variable Modeling in Heterogeneous Populations	255	208	47	81.6%
7n0494s4	Generalized Varying-Coefficient Models	241	27	214	11.2%
18c7q1j2	Determination of the Accuracy of the Observations	239	25	214	10.5%
3jq067x8	Bounds on Treatment Effects from Studies with Imperfect Compliance	235	88	147	37.4%
3m13p4nn	Direct and indirect effects	235	119	116	50.6%
4x788631	A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data	226	44	182	19.5%
9zx9c72c	Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods	226	45	181	19.9%
2rn0420q	Nonparametric Bounds on Causal Effects from Partial Compliance Data	218	64	154	29.4%
0hz9x8pc	The Mediation Formula: A guide to the assessment of causal pathways in nonlinear models	214	125	89	58.4%
7wg0k7xq	Applications of Convex Analysis to Multidimensional Scaling	208	46	162	22.1%
1tg0s6nq	An Algorithm for Constructing Orthogonal and Nearly Orthogonal Arrays with Mixed Levels and Small Runs	206	74	132	35.9%
2595d045	Bayesian Generic Priors for Causal Learning	202	81	121	40.1%

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