{ "item_title" : "Recent Advances in Functional Data Analysis and Related Topics", "item_author" : [" Frédéric Ferraty "], "item_description" : "Penalized Spline Approaches for Functional Principal Component Logit.- Functional Prediction for the Residual Demand in Electricity Spot .- Variable Selection in Semi-Functional RegressionModels.- Power Analysis for Functional Change Point Detection.- Robust Nonparametric Estimation for Functional Spatial Regression.- Sequential Stability Procedures for Functional Data Setups.- On the Effect of Noisy Observations of the Regressor in a Functional Linear Model.- Testing the Equality of Covariance Operators.- Modeling and Forecasting Monotone Curves by FDA.- Wavelet-Based Minimum Contrast Estimation of Linear Gaussian Random Fields.- Dimensionality Reduction for Samples of Bivariate Density Level Sets: an Application to Electoral Results.- Structural Tests in Regression on Functional Variable.- A Fast Functional Locally Modeled Conditional Density and Mode for Functional Time-Series.- Generalized Additive Models for Functional Data.- Recent Advances on Functional Additive Regression.- Thresholding in Nonparametric Functional Regression with Scalar Response.- Estimation of a Functional Single Index Model.- Density Estimation for Spatial-Temporal Data.- Functional Quantiles.- Extremality for Functional Data.- Functional Kernel Estimators of Conditional Extreme Quantiles.- A Nonparametric Functional Method for Signature Recognition.- Longitudinal Functional Principal Component Analysis.- Estimation and Testing for Geostatistical Functional Data.- Structured Penalties for Generalized Functional Linear Models (GFLM).- Consistency of the Mean and the Principal Components of Spatially Distributed Functional Data.- Kernel Density Gradient Estimate.- A Backward Generalization of PCA for Exploration and Feature Extraction of Manifold-Valued Shapes.- Multiple Functional Regression with both Discrete and Continuous Covariates.- Factor Modeling for High Dimensional Time Series.- Depth for Sparse Functional Data.- Sparse Functional Linear Regression with Applications to Personalized Medicine.- Estimation of Functional Coefficients in Partial Differential Equations.- Functional Varying Coefficient Models.- Applications of Functional Data Analysis to Material Science.- On the Properties of Functional Dept.- Second-Order Inference for Functional Data with Application to DNA Minicircles.- Nonparametric Functional Time Series Prediction.- Wavelets Smoothing for Multidimensional Curves.- Nonparametric Conditional Density Estimation for Functional Data. Econometric Applications.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/79/082/833/3790828335_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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