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2. Efficient Estimation for Varying-Coefficient Mixed Effects Models with Functional Response Data. (2021). Cai, Xiong ; Yan, Xingyu ; Pu, Xiaolong ; Xue, Liugen.
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3. A multilevel mixed effects varying coefficient model with multilevel predictors and random effects for modeling hospitalization risk in patients on dialysis. (2020). Li, Yihao ; Chen, Yanjun ; Kalantarzadeh, Kamyar ; Kurum, Esra ; Nguyen, Danh V ; Enturk, Damla ; Rhee, Connie M.
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4. Increasing the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them. (2019). Moiseev, Nikita ; Volodin, Andrei.
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5. A penalized likelihood method for nonseparable space–time generalized additive models. (2018). Mateu, Jorge ; Mosammam, Ali M.
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6. Integrative weighted group lasso and generalized local quadratic approximation. (2016). Zhao, Yunpeng ; Pan, Qing.
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7. Approximate inference for spatial functional data on massively parallel processors. (2014). Raket, Lars Lau ; Markussen, BO.
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8. Warped functional analysis of variance. (2014). Carter, Patrick A. ; Gervini, Daniel.
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1. Data-driven P-Splines under short-range dependence. (2022). Letmathe, Sebastian.
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2. An iterative plug-in algorithm for P-Spline regression. (2022). Feng, Yuanhua ; Letmathe, Sebastian.
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3. Adaptive spline fitting with particle swarm optimization. (2021). Mohanty, Soumya D ; Fahnestock, Ethan.
   In: Computational Statistics.
   RePEc:spr:compst:v:36:y:2021:i:1:d:10.1007_s00180-020-01022-x.

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4. Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion. (2020). Simioni, Michel ; Gioldasis, Georgios ; Musolesi, Antonio.
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5. Inference and computation with generalized additive models and their extensions. (2020). Wood, Simon N.
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   RePEc:spr:testjl:v:29:y:2020:i:2:d:10.1007_s11749-020-00711-5.

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6. Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion. (2020). Simioni, Michel ; Gioldasis, Georgios ; Musolesi, Antonio.
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   RePEc:hal:wpaper:hal-02790523.

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7. Fast and efficient nested simulation for large variable annuity portfolios: A surrogate modeling approach. (2020). Yang, Shuai ; Lin, Sheldon X.
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   RePEc:eee:insuma:v:91:y:2020:i:c:p:85-103.

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8. Testing nonparametric shape restrictions. (2020). Komarova, Tatiana ; Hidalgo, Javier.
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9. Two stage smoothing in additive models with missing covariates. (2019). Yoshida, Takuma.
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10. Nonparametric estimation of R&D international spillovers. (2019). Musolesi, Antonio ; Simioni, Michel ; Gioldasis, Georgios.
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    RePEc:hal:journl:hal-02789474.

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11. Large-sample estimation and inference in multivariate single-index models. (2019). Tu, Wanzhu ; Wu, Jingwei ; Peng, Hanxiang.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:171:y:2019:i:c:p:382-396.

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12. A Regime Shift Model with Nonparametric Switching Mechanism. (2018). Lin, Ming ; Chen, Haiqiang ; Zhu, Yanli.
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    RePEc:zbw:irtgdp:2018020.

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13. Nonparametric estimation of international R&D spillovers. (2018). Simioni, Michel ; Gioldasis, Georgios ; Musolesi, Antonio.
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14. Nonparametric estimation of international R&D spillovers. (2018). Simioni, Michel ; Gioldasis, Georgios ; Musolesi, Antonio.
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15. Pointwise convergence in probability of general smoothing splines. (2018). Johansen, Adam ; Thorpe, Matthew.
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16. Semiparametric estimation under shape constraints. (2018). Wu, Ximing ; Sickles, Robin.
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17. Distributions of GDP across versions of the Penn World Tables: A functional data analysis approach. (2018). Chen, Tao ; Tian, Renfang ; Dejuan, Joseph.
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18. Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data. (2017). Li, Zheyuan ; Wood, Simon N ; Augustin, Nicole H ; Shaddick, Gavin.
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19. Penalized spline estimation in the partially linear model. (2017). Holland, Ashley D.
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20. Estimation and inference in functional single-index models. (2016). Ma, Shujie.
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21. Model averaging based on leave-subject-out cross-validation. (2016). Gao, Yan ; Zhang, Xinyu ; Wang, Shouyang ; Zou, Guohua.
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22. Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions. (2016). Yoshida, Takuma.
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23. Penalized function-on-function regression. (2015). Greven, Sonja ; Scheipl, Fabian ; Ivanescu, Andrada ; Staicu, Ana-Maria.
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24. Efficient Estimation of the Partly Linear Additive Hazards Model with Current Status Data. (2015). Lu, Xuewen.
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    RePEc:bla:scjsta:v:42:y:2015:i:1:p:306-328.

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25. A simple and general approach to fitting the discount curve under no-arbitrage constraints. (2014). Fengler, Matthias ; Hin, Lin-Yee.
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26. Bayesian Nonparametric Instrumental Variables Regression Based on Penalized Splines and Dirichlet Process Mixtures. (2014). Hisgen, Carlos ; Kneib, Thomas ; Wiesenfarth, Manuel ; Cadarso-Suarez, Carmen.
    In: Journal of Business & Economic Statistics.
    RePEc:taf:jnlbes:v:32:y:2014:i:3:p:468-482.

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27. Asymptotics for penalised splines in generalised additive models. (2014). Yoshida, Takuma ; Naito, Kanta.
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    RePEc:taf:gnstxx:v:26:y:2014:i:2:p:269-289.

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28. Penalized Splines, Mixed Models and the Wiener-Kolmogorov Filter. (2014). Bloechl, Andreas .
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29. Trend Estimation with Penalized Splines as Mixed Models for Series with Structural Breaks. (2014). Blochl, Andreas .
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30. Is the BMI a Relic of the Past?. (2014). Lee, Wang-Sheng.
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31. Big and Tall: Is there a Height Premium or Obesity Penalty in the Labor Market?. (2014). Lee, Wang-Sheng.
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32. Unimodal regression using Bernstein–Schoenberg splines and penalties. (2014). Ickstadt, Katja ; Kollmann, Claudia ; Bornkamp, Bjorn.
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33. Constrained spline regression in the presence of AR(p) errors. (2013). Meyer, Mary C ; Opsomer, Jean D ; Wang, Huan.
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34. On likelihood ratio testing for penalized splines. (2013). Greven, Sonja ; Crainiceanu, Ciprian.
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35. Estimation and Inference for Varying-coefficient Models with Nonstationary Regressors using Penalized Splines. (2013). Fang, Ying ; Chen, Haiqiang ; Li, Yingxing.
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36. Inference for variograms. (2013). Crujeiras, Rosa M. ; Bowman, Adrian W..
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37. Smoothing parameter selection in two frameworks for penalized splines. (2013). Krivobokova, Tatyana.
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38. Fast bivariate P-splines: the sandwich smoother. (2013). Li, Yingxing ; Xiao, Luo ; Ruppert, David.
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    RePEc:bla:jorssb:v:75:y:2013:i:3:p:577-599.

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39. A short introduction to splines in least squares regression analysis. (2013). Kagerer, Kathrin.
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40. Direct Simultaneous Inference in Additive Models and Its Application to Model Undernutrition. (2012). Sperlich, Stefan ; Krivobokova, Tatyana ; Klasen, Stephan ; Wiesenfarth, Manuel.
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41. Density estimation and comparison with a penalized mixture approach. (2012). Schellhase, Christian ; Kauermann, Goran.
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42. A Hierarchical Semiparametric Model for Incorporating Intergene Information for Analysis of Genomic Data. (2012). Qu, Long ; Jack C. M. Dekkers, ; Nettleton, Dan.
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43. Numerical Discretization-Based Estimation Methods for Ordinary Differential Equation Models via Penalized Spline Smoothing with Applications in Biomedical Research. (2012). Wu, Hulin ; Xue, Hongqi ; Kumar, Arun.
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44. Determination of linear components in additive models. (2011). Chen, Rong ; Wang, Jing ; Liang, Hua.
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45. Filtering Time Series with Penalized Splines. (2011). Semmler, Willi ; Krivobokova, Tatyana ; Kauermann, Goeran.
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    RePEc:bpj:sndecm:v:15:y:2011:i:2:n:2.

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46. A Penalized Spline Approach to Functional Mixed Effects Model Analysis. (2011). Wang, Yuanjia ; Chen, Huaihou.
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    RePEc:bla:biomet:v:67:y:2011:i:3:p:861-870.

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47. Nonparametric estimation of mean and dispersion functions in extended generalized linear models. (2010). Prosdocimi, I. ; Gijbels, I. ; Claeskens, G..
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48. Comments on: A review on empirical likelihood methods for regression. (2009). Sperlich, Stefan.
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49. .

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