Citation Impact
Citing Papers
Review Papers: Recent Developments in Nonparametric Density Estimation
1991
Neural methods for non-standard data
2004
A Regional Dynamic General-Equilibrium Model of Alternative Climate-Change Strategies
2016 StandoutNobel
Stability of person-specific blood-based infrared molecular fingerprints opens up prospects for health monitoring
2021 StandoutNobel
Differential expression analysis for sequence count data
2010 Standout
A global optimisation method for robust affine registration of brain images
2001 Standout
Chronux: A platform for analyzing neural signals
2010 Standout
How machine learning can help select capping layers to suppress perovskite degradation
2020 StandoutNobel
Quantifying the local resolution of cryo-EM density maps
2013 Standout
Estimation of the Youden Index and its Associated Cutoff Point
2005 Standout
The Graph Neural Network Model
2008 Standout
Causal Effects of Monetary Shocks: Semiparametric Conditional Independence Tests with a Multinomial Propensity Score
2008 StandoutNobel
Maimonides Rule Redux
2017 StandoutNobel
Use of Local Linear Regression Model for Short-Term Traffic Forecasting
2003
Pattern Recognition and Neural Networks
1996 Standout
Modelling the absolute returns of different stock indices: exploring the forecastability of an alternative measure of risk
2000 StandoutNobel
Local likelihood density estimation
1996
A survey of robot learning from demonstration
2008 Standout
The Pascal Visual Object Classes Challenge: A Retrospective
2014 Standout
On Local Smoothing of Nonparametric Curve Estimators
1996
An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
1992
Toward an Integration of Landscape and Food Web Ecology: The Dynamics of Spatially Subsidized Food Webs
1997 Standout
Data-driven Soft Sensors in the process industry
2009 Standout
Modelling masonry arches shape using terrestrial laser scanning data and nonparametric methods
2009
Nonparametric confidence intervals for receiver operating characteristic curves
2004
On close relations of local likelihood density estimation
1996
Local Regression and Likelihood
1999
Principal component analysis: a review and recent developments
2016 Standout
Big Data Analytics in Intelligent Transportation Systems: A Survey
2018 Standout
Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs
2014 Standout
Geopolitical risks and stock market dynamics of the BRICS
2018 Standout
Matching As An Econometric Evaluation Estimator
1998 Standout
A Perfect Smoother
2003 Standout
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
2001 Standout
Clustering-Based Improvement of Nonparametric Functional Time Series Forecasting: Application to Intra-Day Household-Level Load Curves
2013
Inference on Causal Effects in a Generalized Regression Kink Design
2015 StandoutNobel
Flexible smoothing with B-splines and penalties
1996 Standout
Nonparametric Kernel Estimation for Semiparametric Models
1995
Identification and Inference in Regression Discontinuity Designs with a Manipulated Running Variable
2016
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
Stochastic modelling and analysis of degradation for highly reliable products
2014 Standout
Digital Reticular Chemistry
2020 StandoutNobel
Statistical Methods for Degradation Data With Dynamic Covariates Information and an Application to Outdoor Weathering Data
2014
A CONSISTENT NONPARAMETRIC TEST FOR CAUSALITY IN QUANTILE
2012
Inference on Causal Effects in a Generalized Regression Kink Design
2015 StandoutNobel
Optimal Bandwidth Choice for the Regression Discontinuity Estimator
2011 StandoutNobel
An Improved Harris Hawks Optimization Algorithm With Simulated Annealing for Feature Selection in the Medical Field
2020 Standout
Improved methods for bandwidth selection when estimating ROC curves
2003
Ordinary kriging for function-valued spatial data
2010
An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
1992 Standout
Asymmetric least squares regression estimation: A nonparametric approach∗
1996
Machine Learning in Agriculture: A Review
2018 Standout
Approximate Bayesian Computation in Population Genetics
2002 Standout
Forecasting Volatility in Financial Markets: A Review
2003 StandoutNobel
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
2018 Standout
From Laser Scanning to Finite Element Analysis of Complex Buildings by Using a Semi-Automatic Procedure
2015 Standout
The historical functional linear model
2003
Applied Functional Data Analysis: Methods and Case Studies
2002 Standout
Functional clustering and linear regression for peak load forecasting
2009 Standout
Traffic Flow Prediction With Big Data: A Deep Learning Approach
2014 Standout
Locally Weighted Learning
1997
A Nearest Neighbor Bootstrap For Resampling Hydrologic Time Series
1996
Variable importance analysis: A comprehensive review
2015 Standout
On automatic boundary corrections
1997
Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network
2017 Standout
Multivariate Locally Weighted Least Squares Regression
1994
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
Dynamic Functional Principal Components
2014
Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling
2007 Standout
An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
2011 Standout
Polynomial splines and their tensor products in extended linear modeling: 1994 Wald memorial lecture
1997
Evaluating predictive performance of value-at-risk models in emerging markets: a reality check
2006
Works of Pascal Sarda being referenced
Quantile regression: a nonparametric approach
1988
Local data-driven bandwidth choice for density estimation
1989
Functional linear model
1999
Nonparametric Curve Estimation from Time Series
1989
Functional Linear Regression
2018
Smoothing splines estimators in functional linear regression with errors-in-variables
2006
Approche non paramétrique en théorie de la fiabilité : revue bibliographique
1986
Smooth estimators of distribution and density functions
1992
Electricity consumption prediction with functional linear regression using spline estimators
2010