Research Reports

eScholarship stats: Breakdown by Item for January through April, 2025

Item	Title	Total requests	Download	View-only	%Dnld
2nt2p3dt	Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species.	81	7	74	8.6%
55h4h0w7	Fuzzy Forests: Extending Random Forests for Correlated, High-Dimensional Data	63	23	40	36.5%
6v89z9ks	A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models	59	9	50	15.3%
8848228c	Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets	55	5	50	9.1%
5cr096pt	Joint Clustering and Registration of Functional Data	51	4	47	7.8%
8pm5v0f8	Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains	45	8	37	17.8%
61n8h2np	Non-Local Priors for High Dimensional Estimation	42	10	32	23.8%
58c1r34h	High-dimensional MultivariateGeostatistics: A Conjugate BayesianMatrix-Normal Approach	39	5	34	12.8%
2c88m2h5	A Unifying Bayesian Approach for Sample Size Determination Using Design andAnalysis Priors	38	2	36	5.3%
4w60b16n	Inferring Brain Signals Synchronicity from a Sample of EEG Readings	36	8	28	22.2%
8781x807	Bayesian Analysis of Curves Shape Variation through Registration and Regression	36	7	29	19.4%
9dw7s0x3	Network modeling in biology: statistical methods for gene and brain networks.	36	6	30	16.7%
88c7t942	Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping	35	7	28	20.0%
16b7929k	Statistical hypothesis testing versus machine-learning binary classification: distinctions and guidelines.	34	2	32	5.9%
4j94x6cx	Identifying Longitudinal Trends within EEGExperiments	34	11	23	32.4%
9vw0p4pn	Minimax optimal designs via particle swarm optimization methods	34	12	22	35.3%
0281896n	High-Dimensional Bayesian Geostatistics	32	4	28	12.5%
5gk1d91d	Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach	28	7	21	25.0%
0s71z8wg	Spatial Factor Modeling: A BayesianMatrix-Normal Approach for Misaligned Data	27	4	23	14.8%
1wn7s0xn	A bootstrap lasso + partial ridge method to construct confidence intervals for parameters in high-dimensional sparse linear models.	27	4	23	14.8%
06x6x7cb	RARtool: A MATLAB Software Package for Designing Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes	26	6	20	23.1%
0bf3t830	A Semi-Infinite Programming based algorithm for determining T-optimum designs for model discrimination	24	7	17	29.2%
1zz0p2d2	Time-Varying Effect Modeling with Longitudinal Data Truncated by Death:  Conditional Models, Interpretations and Inference	24	3	21	12.5%
216065sz	On identifiability and consistency of the nugget in Gaussian spatial process models	23	7	16	30.4%
8s28722k	Multivariate left‐censored Bayesian modeling for predicting exposure using multiple chemical predictors	23	6	17	26.1%
93j573sb	Joint Inference for Competing Risks Data	23	4	19	17.4%
9sg1r2xj	Cluster-Randomized Trial to Increase Hepatitis B Testing among Koreans in Los Angeles	23	0	23	0.0%
1198466s	Multivariate spatial meta kriging	22	6	16	27.3%
9k3819jn	Bivariate Left-Censored Bayesian Model for Predicting Exposure: Preliminary Analysis of Worker Exposure during the <em>Deepwater Horizon </em>Oil Spill	22	5	17	22.7%
4b76m8mn	Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes	21	3	18	14.3%
55x673td	Non-Separable Dynamic Nearest-Neighbor Gaussian Process Models for Large Spatio-Temporal Data With An Application to Particulate Matter Analysis	21	5	16	23.8%
3qh2c1jp	Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques	20	4	16	20.0%
0z02f0jh	Efficient and Ethical Response=Adaptive Randomizaiton Designs for Multi-Arm Clinical Trials With Weibull Time-to-Event Outcomes	19	8	11	42.1%
820036bc	Bayesian State Space Modeling of PhysicalProcesses in Industrial Hygiene	19	2	17	10.5%
978454rc	Meta-Kriging: Scalable Bayesian Modeling andInference for Massive Spatial Datasets	19	2	17	10.5%
9hw6s7ks	Pseudo-Likelihood Based Logistic Regression forEstimating COVID-19 Infection and Case FatalityRates by Gender, Race, and Age in California	19	1	18	5.3%
9n90r7hq	Prediction Summary Measures for a Nonlinear Model and for Right-Censored Time-to-Event Data	19	5	14	26.3%
9t20g0pr	Professor	18	2	16	11.1%
0gs54401	Scalable Sparse Cox's Regression for Large-Scale Survival Data via Broken Adaptive Ridge	17	3	14	17.6%
63q0c96r	Cluster-Randomized Trial to Increase Hepatitis B Testing among Koreans in Los Angeles	17	1	16	5.9%
6z09s1xr	Spatial Joint Species Distribution Modeling usingDirichlet Processes	17	3	14	17.6%
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	16	2	14	12.5%
9kc7q9pk	A Two-step Estimation Approach for Logistic Varying Coefficient Modeling of Longitudinal Data	15	6	9	40.0%
3z75f3dc	Coastline Kriging: A Bayesian Approach	14	2	12	14.3%
4rj1t11c	Heteroscedastic CAR models for areally referenced temporal processes for analyzing California asthma hospitalization data	14	4	10	28.6%
4s84j9g5	Bayesian modeling and uncertainty quantificationfor descriptive social networks	14	7	7	50.0%
6mr2986t	Practical Bayesian Modeling and Inference for Massive SpatialDatasets On Modest Computing Environments	14	2	12	14.3%
8nx6t5xp	Toward a Diagnostic Toolkit for Linear Models with Gaussian-ProcessDistributed Random Effects	13	1	12	7.7%
3dw8x1xx	Web-based Supplementary Materials for Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes by Quick et al.	12	2	10	16.7%
41s0g6qn	A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models	12	5	7	41.7%

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