Pages that link to "Item:Q2773185"

The following pages link to Bayesian curve-fitting with free-knot splines (Q2773185):

Displaying 50 items.

• Optimal design for adaptive smoothing splines (Q2301090) (← links)
• Nonparametric adaptive Bayesian regression using priors with tractable normalizing constants and under qualitative assumptions (Q2374528) (← links)
• Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation (Q2440185) (← links)
• Spectral decompositions of multiple time series: a Bayesian non-parametric approach (Q2443320) (← links)
• A Bayesian modeling approach for generalized semiparametric structural equation models (Q2452349) (← links)
• Regression density estimation using smooth adaptive Gaussian mixtures (Q2630124) (← links)
• Augmented factor models with applications to validating market risk factors and forecasting bond risk premia (Q2658786) (← links)
• Free Knot Splines with RJMCMC in Survival Data Analysis (Q2786249) (← links)
• Neuronal Spike Train Analysis Using Gaussian Process Models (Q2800200) (← links)
• Sequential design for computer experiments with a flexible Bayesian additive model (Q2856566) (← links)
• Knot selection for least-squares and penalized splines (Q2862400) (← links)
• Efficient Bayesian multivariate surface regression (Q2868862) (← links)
• A Bayesian regression approach to terrain mapping and an application to legged robot locomotion (Q2899385) (← links)
• A Bayesian semiparametric approach for incorporating longitudinal information on exposure history for inference in case-control studies (Q2912326) (← links)
• On the relation between encoding and decoding of neuronal spikes (Q2919412) (← links)
• A predictive study of Dirichlet process mixture models for curve fitting (Q2922155) (← links)
• Multivariate partially linear single-index models: Bayesian analysis (Q2934402) (← links)
• Detection of Hidden Structures in Nonstationary Spike Trains (Q3015451) (← links)
• SALSA – a spatially adaptive local smoothing algorithm (Q3070632) (← links)
• Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains (Q3070781) (← links)
• Bayesian estimation and inference for generalised partial linear models using shape-restricted splines (Q3106429) (← links)
• Capturing Flexible Heterogeneous Utility Curves: A Bayesian Spline Approach (Q3116082) (← links)
• A General Likelihood Framework for Characterizing the Time Course of Neural Activity (Q3116943) (← links)
• A Computational Bayesian Method for Generalized Semiparametric Regression Models (Q3178514) (← links)
• A Bayesian approach to functional-based multilevel modeling of longitudinal data: applications to environmental epidemiology (Q3304941) (← links)
• Approximating data with weighted smoothing splines (Q3509726) (← links)
• Gaussian Process Based Bayesian Semiparametric Quantitative Trait Loci Interval Mapping (Q3561827) (← links)
• A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes (Q3583488) (← links)
• Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression (Q3591513) (← links)
• A Method for Selecting the Bin Size of a Time Histogram (Q3593960) (← links)
• Curve-Fitting for Bayesians? (Q4554990) (← links)
• Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models (Q4904729) (← links)
• A Bayesian multivariate partially linear single-index probit model for ordinal responses (Q4960632) (← links)
• A Bayesian Nonparametric Regression Model With Normalized Weights: A Study of Hippocampal Atrophy in Alzheimer’s Disease (Q4975398) (← links)
• Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines (Q5084431) (← links)
• Nonlinear models of disability and age applied to census data (Q5124908) (← links)
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• Quantifying Strength of Chaos in the Population Firing Rate of Neurons (Q5157149) (← links)
• Hit and run ARMS: adaptive rejection Metropolis sampling with hit and run random direction (Q5222388) (← links)
• Penalized Spline of Propensity Methods for Treatment Comparison (Q5229882) (← links)
• Bayesian Inference of Autoregressive and Functional-Coefficient Moving Average Models (Q5249201) (← links)
• Nonparametric Bayesian Regression Under Combinations of Local Shape Constraints (Q5266580) (← links)
• Bayesian Hierarchical Poisson Regression Models: An Application to a Driving Study With Kinematic Events (Q5327277) (← links)
• Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes (Q5406371) (← links)
• Gaussian Process Functional Regression Modeling for Batch Data (Q5434897) (← links)
• Spatial Multistate Transitional Models for Longitudinal Event Data (Q5450490) (← links)
• Modelling Directional Dispersion through Hyperspherical Log-Splines (Q5473057) (← links)