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Schneiders PDF A Tale of Waves and Eddies in a Sea of Rotating Turbulence, Amrik Sen PDF Stability and Bifurcations of a Piecewise-Smooth Elasto-Plastic Inverted Pendulum Model : Towards an Understanding of Dynamics of Buildings under Earthquake-Type Forcing, Sekson Sirisubtawee PDF Numerical Experiments of Dynamical Processes During the 2011-2013 Surge of the Bering-Bagley Glacier System, Using a Full-Stokes Finite Element Model, Thomas Trantow PDF Dispersive shock wave interactions and two-dimensional ocean-wave soliton interactions, Douglas Eugene Baldwin PDF Rogue Waves in Optics and Water, Tommaso Buvoli PDF Destruction of Invariant Tori in Volume-Preserving Maps, Adam Merritt Fox PDF On the adaptive use of information in habitat selection, Theodore Emil Galanthay PDF Algebraic Multigrid Methods for Parallel Computing, Systems, and Graphs, Tobias M.Jones PDF Efficient Particle Tracking Algorithms for Solute Transport in Fracture Rock with Absorption and Matrix Diffusion, Dylan Lowell Klein PDF Nonlinear Approximations in Filter Design and Wave Propagation, Ryan D.
The LRTM uses a parametric latent curve that allows customers to exhibit a broad range of latent patterns of evolution while providing structure to allow for robust estimation.
The latent trajectory then maps onto behaviors akin to a dynamic factor model that allows multiple behaviors to be jointly related over time.
The research of the Rice Statistics Department has applications in medicine, finance, energy, and the environment.
Our faculty and students have made contributions to statistical theory and methods including modeling of contagious diseases, the genetics of cancer, neuroimaging, machine learning, applied probability, and many other areas.
Le PDF Spatially Random Processes in One-Dimensional Maps: the Logistic Map and the Arnold Circle Map, An Tuong Le PDF Toward a General Solution of the Three-Wave Resonant Interaction Equations, Ruth Ann Martin PDF Rays, Waves, and Separatrices, Cristian Rafael Mendoza PDF From Nonlinear Embedding to Graph Distances: A Spectral Perspective, Nathan D.
Dissertation Modeling Series Time
Leibs PDF Fundamental Limits of Network Communication with General Message Sets: A Combinatorial Approach, Henry Paul Romero PDF The Effectiveness of Calculus Workgroup on Student Performance in Calculus: A Mixed-Methods Approach, Brita B.
Modeling how customers evolve over time has received attention among researchers and practitioners due to the increasing importance of individual-level prediction in customer data sets.
A class of time-series models known as the Hidden Markov Model (HMM) has emerged in recent years as the empirical workhorse in capturing such non-stationary customer behaviors over time in the marketing literature.
Wills PDF Discretizing Continuous Attributes of a Bayesian Network With a Birth and Death Process Based on Minimum Description Length, Nicole Woytarowicz PDF Reduction of Multivariate Mixtures and Its Applications, Xinshuo Yang PDF Reduction of Multivariate Mixtures and Its Applications, Xinshuo Yang PDF What's Cooler Than Being Cool?
Ice-Sheet Models Using a Fluidity-Based FOSLS Approach to Nonlinear-Stokes Flow., Jeffery M.