Projets

Projets par année 1995 2002 2022

• 10 Terminé

Projets par année

Rechercher les résultats

• Empirically Determined Climate Predictability Using Nonlinear Time Series Models

  McKeague, I. W. (PI) & Elsner, J. (CoPI)

  National Science Foundation

  4/1/95 → 9/30/97

  Projet

  • Time Series Model 100%
  • Simulated Time Series 50%
  • Systems Theory 50%
  • Dynamical System 50%
  • Time Series Analysis 50%

• Efficient Condensation of Spatial/Temporal Data

  McKeague, I. W. (PI)

  National Science Foundation

  8/15/99 → 7/31/02

  Projet

  • Nonparametric Curve Estimation 100%
  • Statistical Model 100%
  • Spline 100%
  • Clustering 100%
  • Spatial Point Process 100%

• Statistical Modeling in Oceanography

  McKeague, I. W. (PI) & Foss, D. (CoPI)

  National Science Foundation

  9/15/02 → 5/31/04

  Projet

  • Ocean Circulation 100%
  • Probability Density Function 50%

• Bayesian, Empirical Likelihood and Counting Process Methods for Semiparametric Models

  McKeague, I. W. (PI)

  National Science Foundation

  7/1/02 → 6/30/05

  Projet

  • Bayesian 100%
  • Empirical Likelihood 100%
  • Counting Process 100%
  • Hazard Function 60%
  • Covariate 40%

• Collaborative Research: CMG: Ocean Circulation Climatology and Dynamics Using Bayesian Hierarchical Methods

  McKeague, I. W. (PI) & Speer, K. (CoPI)

  National Science Foundation

  9/1/02 → 8/31/06

  Projet

  • North Atlantic 100%
  • Ocean Circulation 100%
  • State Estimation 50%
  • Probability Distribution Function 50%
  • Interdisciplinary Research 50%

• Hybrid likelihood methods

  McKeague, I. W. (PI)

  National Science Foundation

  7/1/05 → 12/31/09

  Projet

  • Confidence Interval 100%
  • Nuisance Parameter 100%
  • Estimating Equation 83%
  • Relative Risk 66%
  • Parametric Regression Model 50%

• Sparse predictors in functional data analysis

  McKeague, I. W. (PI)

  National Science Foundation

  7/1/08 → 6/30/12

  Projet

  • Functional Data 100%
  • Higher Dimensions 100%
  • Functional Data Analysis 100%
  • Direction Vector 100%
  • Asymptotics 75%

• Optimal treatment policies and adaptive screening for functional predictors

  McKeague, I. W. (PI) & Qian, M. (CoPI)

  National Science Foundation

  9/1/13 → 8/31/17

  Projet

  • Treated Patient 100%
  • Individual Patient 100%
  • Estimated Regression Coefficient 50%
  • Interaction Effect 50%
  • Parameter Estimate 50%

• Post-selection inference and trajectory analysis

  McKeague, I. W. (PI)

  National Institute of General Medical Sciences

  9/1/11 → 7/31/20

  Projet

  • Health Outcomes 100%
  • Post-Selection Inference 100%
  • Public Health 50%
  • Cohort Effect 50%
  • Bipolar Disorder 50%

• Inferential methods for functional data from wearable devices

  McKeague, I. W. (PI)

  National Institute on Aging

  4/15/19 → 3/31/22

  Projet

  • Functional Data 100%
  • Confounders 100%
  • Wearable Sensor 80%
  • Covariate 66%
  • Statistical Method 33%