Research Output per year
Research Output 2003 2019
- 1 - 50 out of 56 results
- Publication Year, Title (descending)
2019
1
Citation
(Scopus)
Orthogonal series estimation of the pair correlation function of a spatial point process
Jalilian, A., Guan, Y. & Waagepetersen, R., Jan 1 2019, In : Statistica Sinica. 29, 2, p. 769-787 19 p.Research output: Contribution to journal › Article
Spatial Point Process
Orthogonal Series
Pair Correlation Function
Kernel Estimator
Point Process
Spatiotemporal calibration of atmospheric nitrogen dioxide concentration estimates from an air quality model for Connecticut
Gilani, O., McKay, L. A., Gregoire, T. G., Guan, Y., Leaderer, B. P. & Holford, T. R., Jan 1 2019, (Accepted/In press) In : Environmental and Ecological Statistics.Research output: Contribution to journal › Article
Air Quality
nitrogen dioxide
Nitrogen
air quality
Calibration
2018
A fast spectral quasi-likelihood approach for spatial point processes
Deng, C., Waagepetersen, R. P., Wang, M. & Guan, Y., Feb 1 2018, In : Statistics and Probability Letters. 133, p. 59-64 6 p.Research output: Contribution to journal › Article
Spatial Point Process
Quasi-likelihood
Estimating Function
Intensity Function
Spectral Representation
Flexible and efficient estimating equations for variogram estimation
Sun, Y., Chang, X. & Guan, Y., Jun 1 2018, In : Computational Statistics and Data Analysis. 122, p. 45-58 14 p.Research output: Contribution to journal › Article
Variogram
Estimating Equation
Hydrology
Likelihood
Spatial Modeling
1
Citation
(Scopus)
Modeling the importation and local transmission of vector-borne diseases in Florida: The case of Zika outbreak in 2016
Chen, J., Beier, J. C., Cantrell, R., Cosner, G., Fuller, D., Guan, Y., Zhang, G. & Ruan, S., Oct 14 2018, In : Journal of Theoretical Biology. 455, p. 342-356 15 p.Research output: Contribution to journal › Article
Disease Vectors
vector-borne diseases
Culicidae
mosquito-borne diseases
Disease Outbreaks
Stochastic Quasi-Likelihood for Case-Control Point Pattern Data
Xu, G., Waagepetersen, R. & Guan, Y., Jan 1 2018, (Accepted/In press) In : Journal of the American Statistical Association.Research output: Contribution to journal › Article
Quasi-likelihood
Case-control
Control Points
Point Process
Weight Function
2017
Less is more: Harnessing product substitution information to rationalize SKUs at intcomex
Bernales, P. J., Guan, Y., Natarajan, H. P., Gimenez, P. S. & Tajes, M. X. A., May 1 2017, In : Interfaces. 47, 3, p. 230-243 14 p.Research output: Contribution to journal › Article
Substitution reactions
Industry
Profitability
Composite materials
Supply chains
Second-order quasi-likelihood for spatial point processes
Deng, C., Guan, Y., Waagepetersen, R. P. & Zhang, J., 2017, (Accepted/In press) In : Biometrics.Research output: Contribution to journal › Article
Spatial Point Process
Quasi-likelihood
tropical rain forests
forest ecology
Weight Function
2016
2
Citations
(Scopus)
A conditional estimating equation approach for recurrent event data with additional longitudinal information
Shen, Y., Huang, H. & Guan, Y., 2016, (Accepted/In press) In : Statistics in Medicine.Research output: Contribution to journal › Article
Recurrent Events
Estimating Equation
Cocaine
Cocaine-Related Disorders
Proportional Hazards Models
5
Citations
(Scopus)
Analysis of multispecies point patterns by using multivariate log-Gaussian Cox processes
Waagepetersen, R., Guan, Y., Jalilian, A. & Mateu, J., Jan 1 2016, In : Journal of the Royal Statistical Society. Series C: Applied Statistics. 65, 1, p. 77-96 20 p.Research output: Contribution to journal › Article
Cox Process
Gaussian Process
Gaussian Fields
Parsimony
Covariance Structure
1
Citation
(Scopus)
Generalized Quasi-Likelihood Ratio Tests for Semiparametric Analysis of Covariance Models in Longitudinal Data
Tang, J., Li, Y. & Guan, Y., Apr 2 2016, In : Journal of the American Statistical Association. 111, 514, p. 736-747 12 p.Research output: Contribution to journal › Article
Analysis of Covariance
Quasi-likelihood
Longitudinal Data
Likelihood Ratio Test
Test Statistic
1
Citation
(Scopus)
Spatiotemporal calibration and resolution refinement of output from deterministic models
Gilani, O., Mckay, L. A., Gregoire, T. G., Guan, Y., Leaderer, B. P. & Holford, T. R., 2016, (Accepted/In press) In : Statistics in Medicine.Research output: Contribution to journal › Article
Information Storage and Retrieval
Deterministic Model
Calibration
Refinement
Nitrogen Dioxide
2
Citations
(Scopus)
Towards optimal Takacs–Fiksel estimation
Coeurjolly, J. F., Guan, Y., Khanmohammadi, M. & Waagepetersen, R., Nov 1 2016, In : Spatial Statistics. 18, p. 396-411 16 p.Research output: Contribution to journal › Article
Optimal Estimation
Pseudo-likelihood
Weight Function
Neuroscience
Point Process
2015
1
Citation
(Scopus)
Disease risk estimation by combining case-control data with aggregated information on the population at risk
Chang, X., Waagepetersen, R., Yu, H., Ma, X., Holford, T. R., Wang, R. & Guan, Y., Mar 1 2015, In : Biometrics. 71, 1, p. 114-121 8 p.Research output: Contribution to journal › Article
Case-control Data
risk estimate
at-risk population
Risk Factors
risk factors
1
Citation
(Scopus)
Estimating daily nitrogen dioxide level: application of a longitudinal model with spatially-correlated random effects
Zhang, L., Guan, Y., Leaderer, B. P. & Holford, T. R., Jun 22 2015, In : Environmental and Ecological Statistics. 22, 2, p. 329-344 16 p., 6.Research output: Contribution to journal › Article
nitrogen dioxide
Random Effects
Nitrogen
Pollution
Estimate
3
Citations
(Scopus)
Joint modeling of longitudinal drug using pattern and time to first relapse in cocaine dependence treatment data
Ye, J., Li, Y. & Guan, Y., Sep 1 2015, In : Annals of Applied Statistics. 9, 3, p. 1621-1642 22 p.Research output: Contribution to journal › Article
Joint Modeling
Drugs
Trajectories
Trajectory
Latent Process
2
Citations
(Scopus)
Multivariate product-shot-noise Cox point process models
Jalilian, A., Guan, Y., Mateu, J. & Waagepetersen, R., Dec 1 2015, In : Biometrics. 71, 4, p. 1022-1033 12 p.Research output: Contribution to journal › Article
Cox Process
Shot Noise
Shot noise
Point Process
Islands
13
Citations
(Scopus)
Quasi-likelihood for spatial point processes
Guan, Y., Jalilian, A. & Waagepetersen, R., Jun 1 2015, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 77, 3, p. 677-697 21 p.Research output: Contribution to journal › Article
Spatial Point Process
Quasi-likelihood
Estimating Function
Covariates
Intensity Function
3
Citations
(Scopus)
Regularized estimating equations for model selection of clustered spatial point processes
Thurman, A. L., Fu, R., Guan, Y. & Zhu, J., Jan 1 2015, In : Statistica Sinica. 25, 1, p. 173-188 16 p.Research output: Contribution to journal › Article
Spatial Point Process
Estimating Equation
Weighted Estimating Equations
Model Selection
Parameter Estimation
2014
3
Citations
(Scopus)
A combined estimating function approach for fitting stationary point process models
Deng, C., Waagepetersen, R. P. & Guan, Y., 2014, In : Biometrika. 101, 2, p. 393-408 16 p.Research output: Contribution to journal › Article
Composite Likelihood
Estimating Function
Stationary point
Point Process
Stationary Process
3
Citations
(Scopus)
A new estimation approach for combining epidemiological data from multiple sources
Huang, H., Ma, X., Waagepetersen, R., Holford, T. R., Wang, R., Risch, H., Mueller, L. & Guan, Y., 2014, In : Journal of the American Statistical Association. 109, 505, p. 11-23 13 p.Research output: Contribution to journal › Article
Estimating Function
Risk Factors
Cancer
Case-control Study
Surveillance
1
Citation
(Scopus)
Covariance of empirical functionals for inhomogeneous spatial point processes when the intensity has a parametric form
Coeurjolly, J. F. & Guan, Y., Dec 1 2014, In : Journal of Statistical Planning and Inference. 155, p. 79-92 14 p.Research output: Contribution to journal › Article
Spatial Point Process
Estimator
kernel
Point Process
Confidence interval
13
Citations
(Scopus)
Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance
Li, Y. & Guan, Y., Jul 3 2014, In : Journal of the American Statistical Association. 109, 507, p. 1205-1215 11 p.Research output: Contribution to journal › Article
Functional Principal Component Analysis
Spatio-temporal Process
Latent Process
Point Process
Surveillance
6
Citations
(Scopus)
Joint Modeling and Clustering Paired Generalized Longitudinal Trajectories With Application to Cocaine Abuse Treatment Data
Huang, H., Li, Y. & Guan, Y., Oct 2 2014, In : Journal of the American Statistical Association. 109, 508, p. 1412-1424 13 p.Research output: Contribution to journal › Article
Joint Modeling
Clustering
Trajectory
Latent Process
Monte Carlo EM Algorithm
2013
22
Citations
(Scopus)
Decomposition of Variance for Spatial Cox Processes
Jalilian, A., Guan, Y. & Waagepetersen, R., Mar 2013, In : Scandinavian Journal of Statistics. 40, 1, p. 119-137 19 p.Research output: Contribution to journal › Article
Cox Process
Spatial Process
Decompose
Variance Decomposition
Intensity Function
3
Citations
(Scopus)
Estimating daily nitrogen dioxide level: Exploring traffic effects
Zhang, L., Guan, Y., Leaderer, B. P. & Holford, T. R., Sep 2013, In : Annals of Applied Statistics. 7, 3, p. 1763-1777 15 p.Research output: Contribution to journal › Article
Nitrogen
Traffic
Health
Air Quality
Air Pollution
2012
12
Citations
(Scopus)
The impact of hypomethylating agents on the cost of care and survival of elderly patients with myelodysplastic syndromes
Wang, R., Gross, C. P., Frick, K., Xu, X., Long, J., Raza, A., Galili, N., Zikria, J., Guan, Y. & Ma, X., Nov 2012, In : Leukemia Research. 36, 11, p. 1370-1375 6 p.Research output: Contribution to journal › Article
Myelodysplastic Syndromes
Costs and Cost Analysis
Survival
Refractory Anemia with Excess of Blasts
Refractory Anemia
2011
Bias-Corrected Variance Estimation and Hypothesis Testing for Spatial Point and Marked Point Processes Using Subsampling
Guan, Y., Sep 2011, In : Biometrics. 67, 3, p. 926-936 11 p.Research output: Contribution to journal › Article
Marked Point Process
Subsampling
Variance Estimation
Hypothesis Testing
Extrapolation
2
Citations
(Scopus)
Cocaine dependence treatment data: Methods for measurement error problems with predictors derived from stationary stochastic processes
Guan, Y., Li, Y. & Sinha, R., Jun 2011, In : Journal of the American Statistical Association. 106, 494, p. 480-493 14 p.Research output: Contribution to journal › Article
Stationary Process
Linear Regression Model
Measurement Error
Stochastic Processes
Predictors
Second-Order Analysis of Semiparametric Recurrent Event Processes
Guan, Y., Sep 2011, In : Biometrics. 67, 3, p. 730-739 10 p.Research output: Contribution to journal › Article
Recurrent Events
chronic diseases
epidemiological studies
United Kingdom
Chronic Granulomatous Disease
Variance Estimation for Statistics Computed from Single Recurrent Event Processes
Guan, Y., Yan, J. & Sinha, R., Sep 2011, In : Biometrics. 67, 3, p. 711-718 8 p.Research output: Contribution to journal › Article
Recurrent Events
Variance Estimation
statistics
Statistics
Regression analysis
2010
20
Citations
(Scopus)
A weighted estimating equation approach for inhomogeneous spatial point processes
Guan, Y. & Shen, Y., Dec 2010, In : Biometrika. 97, 4, p. 867-880 14 p.Research output: Contribution to journal › Article
Weighted Estimating Equations
Spatial Point Process
Maximum likelihood
Intensity Function
Inhomogeneity
11
Citations
(Scopus)
Estimating individual-level risk in spatial epidemiology using spatially aggregated information on the population at risk
Diggle, P. J., Guan, Y., Hart, A. C., Paize, F. & Stanton, M., Dec 2010, In : Journal of the American Statistical Association. 105, 492, p. 1394-1402 9 p.Research output: Contribution to journal › Article
Epidemiology
Point Process
Siméon Denis Poisson
Weighted Estimating Equations
Spatial Point Process
10
Citations
(Scopus)
Sufficient dimension reduction for spatial point processes directed by Gaussian random fields
Guan, Y. & Wang, H., Jun 2010, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 72, 3, p. 367-387 21 p.Research output: Contribution to journal › Article
Sufficient Dimension Reduction
Spatial Point Process
Gaussian Random Field
Central Subspace
Subspace
2009
7
Citations
(Scopus)
Fast block variance estimation procedures for inhomogeneous spatial point processes
Guan, Y., Mar 2009, In : Biometrika. 96, 1, p. 213-220 8 p.Research output: Contribution to journal › Article
Spatial Point Process
Variance Estimation
Estimator
Block Bootstrap
sampling
8
Citations
(Scopus)
On nonparametric variance estimation for second-order statistics of inhomogeneous spatial point processes with a known parametric intensity form
Guan, Y., Dec 2009, In : Journal of the American Statistical Association. 104, 488, p. 1482-1491 10 p.Research output: Contribution to journal › Article
Spatial Point Process
Variance Estimation
Nonparametric Estimation
Order Statistics
Target
82
Citations
(Scopus)
Two-step estimation for inhomogeneous spatial point processes
Waagepetersen, R. & Guan, Y., Jun 2009, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 71, 3, p. 685-702 18 p.Research output: Contribution to journal › Article
Spatial Point Process
Mixing Conditions
Intensity Function
Estimating Function
Score Function
18
Citations
(Scopus)
US Coast Guard air station location with respect to distress calls: A spatial statistics and optimization based methodology
Afshartous, D., Guan, Y. & Mehrotra, A., Aug 1 2009, In : European Journal of Operational Research. 196, 3, p. 1086-1096 11 p.Research output: Contribution to journal › Article
Spatial Statistics
Coastal zones
Statistics
Uncertainty
Optimization
2008
10
Citations
(Scopus)
A goodness-of-fit test for inhomogeneous spatial Poisson processes
Guan, Y., Dec 2008, In : Biometrika. 95, 4, p. 831-845 15 p.Research output: Contribution to journal › Article
Spatial Process
Goodness of Fit Test
Poisson process
Test Statistic
Statistics
14
Citations
(Scopus)
A KPSS test for stationarity for spatial point processes
Guan, Y., Sep 2008, In : Biometrics. 64, 3, p. 800-806 7 p.Research output: Contribution to journal › Article
Spatial Point Process
Stationarity
Statistics
Test Statistic
statistics
A marked point process perspective in fitting spatial point process models
Guan, Y., Jul 1 2008, In : Journal of Statistical Planning and Inference. 138, 7, p. 2143-2153 11 p.Research output: Contribution to journal › Article
Spatial Point Process
Marked Point Process
Random processes
Process Model
Unknown Parameters
20
Citations
(Scopus)
Comparison of three satellite sensors at three spatial scales to predict larval mosquito presence in Connecticut wetlands
Brown, H. E., Diuk-Wasser, M. A., Guan, Y., Caskey, S. & Fish, D., May 15 2008, In : Remote Sensing of Environment. 112, 5, p. 2301-2308 8 p.Research output: Contribution to journal › Article
satellite sensor
Wetlands
mosquito
Culicidae
wetlands
31
Citations
(Scopus)
On consistent nonparametric intensity estimation for inhomogeneous spatial point processes
Guan, Y., Sep 2008, In : Journal of the American Statistical Association. 103, 483, p. 1238-1247 10 p.Research output: Contribution to journal › Article
Spatial Point Process
Covariates
Kernel Smoothing
Intensity Function
Sliced Inverse Regression
5
Citations
(Scopus)
Second-order analysis of inhomogeneous spatial point processes with proportional intensity functions
Guan, Y., Waagepetersen, R. & Beale, C. M., Jun 2008, In : Journal of the American Statistical Association. 103, 482, p. 769-777 9 p.Research output: Contribution to journal › Article
Spatial Point Process
Intensity Function
Directly proportional
Pair Correlation Function
Spatial Point Pattern
3
Citations
(Scopus)
Variance estimation for statistics computed from inhomogeneous spatial point processes
Guan, Y., Feb 2008, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 70, 1, p. 175-190 16 p.Research output: Contribution to journal › Article
Spatial Point Process
Variance Estimation
Point Process
Statistics
Intensity Function
2007
16
Citations
(Scopus)
A composite likelihood cross-validation approach in selecting bandwidth for the estimation of the pair correlation function
Guan, Y., Jun 2007, In : Scandinavian Journal of Statistics. 34, 2, p. 336-346 11 p.Research output: Contribution to journal › Article
Composite Likelihood
Pair Correlation Function
Cross-validation
Bandwidth
Spatial Point Pattern
13
Citations
(Scopus)
A least-squares cross-validation bandwidth selection approach in pair correlation function estimations
Guan, Y., Dec 2007, In : Statistics and Probability Letters. 77, 18, p. 1722-1729 8 p.Research output: Contribution to journal › Article
Bandwidth Selection
Pair Correlation Function
Function Estimation
Cross-validation
Least Squares
40
Citations
(Scopus)
A thinned block bootstrap variance estimation procedure for inhomogeneous spatial point patterns
Guan, Y. & Loh, J. M., Dec 2007, In : Journal of the American Statistical Association. 102, 480, p. 1377-1386 10 p.Research output: Contribution to journal › Article
Spatial Point Pattern
Block Bootstrap
Intensity Function
Variance Estimation
First-order
3
Citations
(Scopus)
Discussion of 'modern statistics for spatial point processes'
Penttinen, A., Prokesov̀a, M., Hellmund, G., Baddeley, A., Billiot, J. M., Cressie, N., Grabarnik, P., S̈arkk̈a, A., Guan, Y., Guttorp, P., Ḧaggstr̈om, O., Hahn, U., Heinrich, L., Kendall, W. S., Lawson, A., Mateu, J., Rue, H., Martino, S., Chopin, N., Schoenberg, F. P. & 3 others, , Dec 2007, In : Scandinavian Journal of Statistics. 34, 4, p. 685-711 27 p.Research output: Contribution to journal › Article
Spatial Point Process
Figure
Statistics
Point process
Nordic
15
Citations
(Scopus)
On asymptotic properties of the mark variogram estimator of a marked point process
Guan, Y., Sherman, M. & Calvin, J. A., Jan 1 2007, In : Journal of Statistical Planning and Inference. 137, 1, p. 148-161 14 p.Research output: Contribution to journal › Article
Marked Point Process
Variogram
Asymptotic Properties
Estimator
Consistent Estimator