Research Reports

eScholarship stats: History by Item for May through August, 2024

Item	Title	Total requests	2024-08	2024-07	2024-06	2024-05
6v89z9ks	A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models	97	35	34	22	6
55h4h0w7	Fuzzy Forests: Extending Random Forests for Correlated, High-Dimensional Data	72	15	24	15	18
58c1r34h	High-dimensional MultivariateGeostatistics: A Conjugate BayesianMatrix-Normal Approach	72	29	20	10	13
2nt2p3dt	Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species.	67	20	21	19	7
8781x807	Bayesian Analysis of Curves Shape Variation through Registration and Regression	65	33	18	7	7
8848228c	Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets	51	27	17	5	2
0s71z8wg	Spatial Factor Modeling: A BayesianMatrix-Normal Approach for Misaligned Data	48	26	14	2	6
88c7t942	Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping	48	18	21	4	5
1198466s	Multivariate spatial meta kriging	42	17	15	6	4
9vw0p4pn	Minimax optimal designs via particle swarm optimization methods	42	15	11	5	11
0bf3t830	A Semi-Infinite Programming based algorithm for determining T-optimum designs for model discrimination	41	20	9	8	4
2c88m2h5	A Unifying Bayesian Approach for Sample Size Determination Using Design andAnalysis Priors	41	15	18	7	1
0gs54401	Scalable Sparse Cox's Regression for Large-Scale Survival Data via Broken Adaptive Ridge	37	11	9	12	5
1zz0p2d2	Time-Varying Effect Modeling with Longitudinal Data Truncated by Death:  Conditional Models, Interpretations and Inference	36	18	13	4	1
3qh2c1jp	Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques	36	17	10	3	6
978454rc	Meta-Kriging: Scalable Bayesian Modeling andInference for Massive Spatial Datasets	35	16	17	1	1
6z09s1xr	Spatial Joint Species Distribution Modeling usingDirichlet Processes	33	15	14	2	2
41s0g6qn	A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models	32	14	16	2
93j573sb	Joint Inference for Competing Risks Data	32	17	11	1	3
3dw8x1xx	Web-based Supplementary Materials for Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes by Quick et al.	31	17	12	1	1
4w60b16n	Inferring Brain Signals Synchronicity from a Sample of EEG Readings	31	11	17	1	2
55x673td	Non-Separable Dynamic Nearest-Neighbor Gaussian Process Models for Large Spatio-Temporal Data With An Application to Particulate Matter Analysis	31	15	12	2	2
820036bc	Bayesian State Space Modeling of PhysicalProcesses in Industrial Hygiene	31	14	13	2	2
4b76m8mn	Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes	30	14	9	3	4
9hw6s7ks	Pseudo-Likelihood Based Logistic Regression forEstimating COVID-19 Infection and Case FatalityRates by Gender, Race, and Age in California	30	13	12	2	3
0z02f0jh	Efficient and Ethical Response=Adaptive Randomizaiton Designs for Multi-Arm Clinical Trials With Weibull Time-to-Event Outcomes	29	19	5	2	3
1j63v3q0	Multiple-Objective Optimal Designs for Studying the Dose Response Function and Interesting Dose Levels	29	16	10	2	1
9kc7q9pk	A Two-step Estimation Approach for Logistic Varying Coefficient Modeling of Longitudinal Data	28	8	13	4	3
1wn7s0xn	A bootstrap lasso + partial ridge method to construct confidence intervals for parameters in high-dimensional sparse linear models.	27	7	12	4	4
8pm5v0f8	Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains	27	9	12	5	1
06x6x7cb	RARtool: A MATLAB Software Package for Designing Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes	26	15	6	4	1
16b7929k	Statistical hypothesis testing versus machine-learning binary classification: distinctions and guidelines.	24	6	10	3	5
5gk1d91d	Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach	24	14	4	2	4
9dw7s0x3	Network modeling in biology: statistical methods for gene and brain networks.	24	8	10	3	3
4j94x6cx	Identifying Longitudinal Trends within EEGExperiments	23	6	12	2	3
3z75f3dc	Coastline Kriging: A Bayesian Approach	22	5	15	1	1
5cr096pt	Joint Clustering and Registration of Functional Data	22	5	13	2	2
8s28722k	Multivariate left‐censored Bayesian modeling for predicting exposure using multiple chemical predictors	22	8	10	2	2
0281896n	High-Dimensional Bayesian Geostatistics	21	6	10	4	1
63q0c96r	Cluster-Randomized Trial to Increase Hepatitis B Testing among Koreans in Los Angeles	21	6	11	3	1
216065sz	On identifiability and consistency of the nugget in Gaussian spatial process models	20	5	8	5	2
4rj1t11c	Heteroscedastic CAR models for areally referenced temporal processes for analyzing California asthma hospitalization data	20	8	8	2	2
6mr2986t	Practical Bayesian Modeling and Inference for Massive SpatialDatasets On Modest Computing Environments	20	5	8	1	6
9k3819jn	Bivariate Left-Censored Bayesian Model for Predicting Exposure: Preliminary Analysis of Worker Exposure during the <em>Deepwater Horizon </em>Oil Spill	20	5	10	2	3
9n90r7hq	Prediction Summary Measures for a Nonlinear Model and for Right-Censored Time-to-Event Data	20	7	5	5	3
9t20g0pr	Professor	20	7	7	1	5
46z4c8hd	Data-driven desirability function to measure patientsâ�� disease progression in a longitudinal study	16	5	8	1	2
61n8h2np	Non-Local Priors for High Dimensional Estimation	16	6	7	1	2
9sg1r2xj	Cluster-Randomized Trial to Increase Hepatitis B Testing among Koreans in Los Angeles	15	7	5		3
4s84j9g5	Bayesian modeling and uncertainty quantificationfor descriptive social networks	14	7	3	1	3

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