Research Reports

eScholarship stats: History by Item for March through June, 2025

Item	Title	Total requests	2025-06	2025-05	2025-04	2025-03
2nt2p3dt	Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species.	103	44	18	21	20
55h4h0w7	Fuzzy Forests: Extending Random Forests for Correlated, High-Dimensional Data	101	39	20	21	21
8pm5v0f8	Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains	85	40	23	6	16
8848228c	Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets	84	40	17	14	13
2c88m2h5	A Unifying Bayesian Approach for Sample Size Determination Using Design andAnalysis Priors	83	41	24	12	6
58c1r34h	High-dimensional MultivariateGeostatistics: A Conjugate BayesianMatrix-Normal Approach	70	32	21	11	6
88c7t942	Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping	69	37	14	8	10
5cr096pt	Joint Clustering and Registration of Functional Data	67	30	11	17	9
9hw6s7ks	Pseudo-Likelihood Based Logistic Regression forEstimating COVID-19 Infection and Case FatalityRates by Gender, Race, and Age in California	66	40	14	8	4
0281896n	High-Dimensional Bayesian Geostatistics	65	29	16	10	10
0s71z8wg	Spatial Factor Modeling: A BayesianMatrix-Normal Approach for Misaligned Data	64	35	17	8	4
8s28722k	Multivariate left‐censored Bayesian modeling for predicting exposure using multiple chemical predictors	64	26	25	8	5
61n8h2np	Non-Local Priors for High Dimensional Estimation	63	28	13	15	7
16b7929k	Statistical hypothesis testing versus machine-learning binary classification: distinctions and guidelines.	62	21	23	13	5
9dw7s0x3	Network modeling in biology: statistical methods for gene and brain networks.	62	21	17	19	5
9vw0p4pn	Minimax optimal designs via particle swarm optimization methods	61	30	12	9	10
4w60b16n	Inferring Brain Signals Synchronicity from a Sample of EEG Readings	58	21	21	6	10
6v89z9ks	A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models	57	29	10	12	6
06x6x7cb	RARtool: A MATLAB Software Package for Designing Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes	56	34	13	5	4
216065sz	On identifiability and consistency of the nugget in Gaussian spatial process models	56	33	11	6	6
4b76m8mn	Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes	55	23	19	10	3
8781x807	Bayesian Analysis of Curves Shape Variation through Registration and Regression	55	23	13	11	8
63q0c96r	Cluster-Randomized Trial to Increase Hepatitis B Testing among Koreans in Los Angeles	54	26	18	5	5
6z09s1xr	Spatial Joint Species Distribution Modeling usingDirichlet Processes	54	28	16	6	4
4j94x6cx	Identifying Longitudinal Trends within EEGExperiments	53	20	16	5	12
1wn7s0xn	A bootstrap lasso + partial ridge method to construct confidence intervals for parameters in high-dimensional sparse linear models.	52	24	11	10	7
9t20g0pr	Professor	52	22	16	10	4
0bf3t830	A Semi-Infinite Programming based algorithm for determining T-optimum designs for model discrimination	50	26	11	10	3
0gs54401	Scalable Sparse Cox's Regression for Large-Scale Survival Data via Broken Adaptive Ridge	49	33	10	3	3
4s84j9g5	Bayesian modeling and uncertainty quantificationfor descriptive social networks	49	32	10	5	2
1zz0p2d2	Time-Varying Effect Modeling with Longitudinal Data Truncated by Death:  Conditional Models, Interpretations and Inference	48	28	10	5	5
3qh2c1jp	Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques	48	28	13	3	4
1198466s	Multivariate spatial meta kriging	47	24	11	7	5
820036bc	Bayesian State Space Modeling of PhysicalProcesses in Industrial Hygiene	47	20	16	8	3
55x673td	Non-Separable Dynamic Nearest-Neighbor Gaussian Process Models for Large Spatio-Temporal Data With An Application to Particulate Matter Analysis	46	23	11	9	3
9k3819jn	Bivariate Left-Censored Bayesian Model for Predicting Exposure: Preliminary Analysis of Worker Exposure during the <em>Deepwater Horizon </em>Oil Spill	45	24	7	10	4
3p82z70s	Detection of carotid artery calcification on the panoramic images of post-menopausal females is significantly associated with severe abdominal aortic calcification: a risk indicator of future adverse vascular events	44	22	12	4	6
46z4c8hd	Data-driven desirability function to measure patientsâ�� disease progression in a longitudinal study	44	28	13	3
5gk1d91d	Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach	44	20	7	7	10
9kc7q9pk	A Two-step Estimation Approach for Logistic Varying Coefficient Modeling of Longitudinal Data	44	25	10	6	3
6mr2986t	Practical Bayesian Modeling and Inference for Massive SpatialDatasets On Modest Computing Environments	43	27	9	4	3
978454rc	Meta-Kriging: Scalable Bayesian Modeling andInference for Massive Spatial Datasets	43	21	12	4	6
9n90r7hq	Prediction Summary Measures for a Nonlinear Model and for Right-Censored Time-to-Event Data	42	19	12	2	9
3dw8x1xx	Web-based Supplementary Materials for Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes by Quick et al.	40	23	11	2	4
4rj1t11c	Heteroscedastic CAR models for areally referenced temporal processes for analyzing California asthma hospitalization data	39	21	13	5
8nx6t5xp	Toward a Diagnostic Toolkit for Linear Models with Gaussian-ProcessDistributed Random Effects	39	24	9	3	3
93j573sb	Joint Inference for Competing Risks Data	38	23	6	3	6
1j63v3q0	Multiple-Objective Optimal Designs for Studying the Dose Response Function and Interesting Dose Levels	37	16	14	4	3
3z75f3dc	Coastline Kriging: A Bayesian Approach	35	18	8	7	2
236735z9	Sun Protection Practices and Sun Exposure among Children with a Parental History of Melanoma	34	18	12	3	1

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