Research Reports

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

Item	Title	Total requests	Download	View-only	%Dnld
6v89z9ks	A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models	97	26	71	26.8%
55h4h0w7	Fuzzy Forests: Extending Random Forests for Correlated, High-Dimensional Data	72	9	63	12.5%
58c1r34h	High-dimensional MultivariateGeostatistics: A Conjugate BayesianMatrix-Normal Approach	72	34	38	47.2%
2nt2p3dt	Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species.	67	3	64	4.5%
8781x807	Bayesian Analysis of Curves Shape Variation through Registration and Regression	65	36	29	55.4%
8848228c	Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets	51	34	17	66.7%
0s71z8wg	Spatial Factor Modeling: A BayesianMatrix-Normal Approach for Misaligned Data	48	26	22	54.2%
88c7t942	Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping	48	22	26	45.8%
1198466s	Multivariate spatial meta kriging	42	19	23	45.2%
9vw0p4pn	Minimax optimal designs via particle swarm optimization methods	42	10	32	23.8%
0bf3t830	A Semi-Infinite Programming based algorithm for determining T-optimum designs for model discrimination	41	21	20	51.2%
2c88m2h5	A Unifying Bayesian Approach for Sample Size Determination Using Design andAnalysis Priors	41	15	26	36.6%
0gs54401	Scalable Sparse Cox's Regression for Large-Scale Survival Data via Broken Adaptive Ridge	37	5	32	13.5%
1zz0p2d2	Time-Varying Effect Modeling with Longitudinal Data Truncated by Death:  Conditional Models, Interpretations and Inference	36	23	13	63.9%
3qh2c1jp	Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques	36	21	15	58.3%
978454rc	Meta-Kriging: Scalable Bayesian Modeling andInference for Massive Spatial Datasets	35	19	16	54.3%
6z09s1xr	Spatial Joint Species Distribution Modeling usingDirichlet Processes	33	21	12	63.6%
41s0g6qn	A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models	32	19	13	59.4%
93j573sb	Joint Inference for Competing Risks Data	32	17	15	53.1%
3dw8x1xx	Web-based Supplementary Materials for Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes by Quick et al.	31	20	11	64.5%
4w60b16n	Inferring Brain Signals Synchronicity from a Sample of EEG Readings	31	17	14	54.8%
55x673td	Non-Separable Dynamic Nearest-Neighbor Gaussian Process Models for Large Spatio-Temporal Data With An Application to Particulate Matter Analysis	31	20	11	64.5%
820036bc	Bayesian State Space Modeling of PhysicalProcesses in Industrial Hygiene	31	18	13	58.1%
4b76m8mn	Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes	30	14	16	46.7%
9hw6s7ks	Pseudo-Likelihood Based Logistic Regression forEstimating COVID-19 Infection and Case FatalityRates by Gender, Race, and Age in California	30	15	15	50.0%
0z02f0jh	Efficient and Ethical Response=Adaptive Randomizaiton Designs for Multi-Arm Clinical Trials With Weibull Time-to-Event Outcomes	29	14	15	48.3%
1j63v3q0	Multiple-Objective Optimal Designs for Studying the Dose Response Function and Interesting Dose Levels	29	18	11	62.1%
9kc7q9pk	A Two-step Estimation Approach for Logistic Varying Coefficient Modeling of Longitudinal Data	28	14	14	50.0%
1wn7s0xn	A bootstrap lasso + partial ridge method to construct confidence intervals for parameters in high-dimensional sparse linear models.	27	7	20	25.9%
8pm5v0f8	Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains	27	12	15	44.4%
06x6x7cb	RARtool: A MATLAB Software Package for Designing Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes	26	7	19	26.9%
16b7929k	Statistical hypothesis testing versus machine-learning binary classification: distinctions and guidelines.	24	6	18	25.0%
5gk1d91d	Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach	24	11	13	45.8%
9dw7s0x3	Network modeling in biology: statistical methods for gene and brain networks.	24	7	17	29.2%
4j94x6cx	Identifying Longitudinal Trends within EEGExperiments	23	7	16	30.4%
3z75f3dc	Coastline Kriging: A Bayesian Approach	22	12	10	54.5%
5cr096pt	Joint Clustering and Registration of Functional Data	22	7	15	31.8%
8s28722k	Multivariate left‐censored Bayesian modeling for predicting exposure using multiple chemical predictors	22	7	15	31.8%
0281896n	High-Dimensional Bayesian Geostatistics	21	6	15	28.6%
63q0c96r	Cluster-Randomized Trial to Increase Hepatitis B Testing among Koreans in Los Angeles	21	5	16	23.8%
216065sz	On identifiability and consistency of the nugget in Gaussian spatial process models	20	5	15	25.0%
4rj1t11c	Heteroscedastic CAR models for areally referenced temporal processes for analyzing California asthma hospitalization data	20	4	16	20.0%
6mr2986t	Practical Bayesian Modeling and Inference for Massive SpatialDatasets On Modest Computing Environments	20	5	15	25.0%
9k3819jn	Bivariate Left-Censored Bayesian Model for Predicting Exposure: Preliminary Analysis of Worker Exposure during the <em>Deepwater Horizon </em>Oil Spill	20	3	17	15.0%
9n90r7hq	Prediction Summary Measures for a Nonlinear Model and for Right-Censored Time-to-Event Data	20	7	13	35.0%
9t20g0pr	Professor	20	3	17	15.0%
46z4c8hd	Data-driven desirability function to measure patientsâ�� disease progression in a longitudinal study	16	3	13	18.8%
61n8h2np	Non-Local Priors for High Dimensional Estimation	16	2	14	12.5%
9sg1r2xj	Cluster-Randomized Trial to Increase Hepatitis B Testing among Koreans in Los Angeles	15	0	15	0.0%
4s84j9g5	Bayesian modeling and uncertainty quantificationfor descriptive social networks	14	2	12	14.3%

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