关于均匀钉扎模型与惩罚化
概率论
2007-09-18 v1
摘要
在本注记中，我们展示了为描述 Wiener 测度的一些非平凡变化而引入的惩罚化方法，如何应用于研究一些简单的聚合物模型，如钉扎模型。随后分析的重点集中在一个必须作为马尔可夫极限来计算的鞅的研究上。
引用
@article{arxiv.0709.2656,
title = {On homogeneous pinning models and penalizations},
author = {Mihai Gradinaru and Samy Tindel},
journal= {arXiv preprint arXiv:0709.2656},
year = {2007}
}
评论
13p
相关论文
查看更多相关论文 →
机器学习 · 统计学
A penalized likelihood method for classification with matrix-valued predictors
Aaron J. Molstad, Adam J. Rothman
2016-10-31
机器学习 · 计算机科学
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification
Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori
2022-05-18
统计方法学 · 统计学
Penalized estimation in high-dimensional hidden Markov models with state-specific graphical models
Nicolas Städler, Sach Mukherjee
2014-01-09
统计方法学 · 统计学
Selecting Diverse Models for Scientific Insight
Laura J. Wendelberger, Brian J. Reich, Alyson G. Wilson
2021-12-17
统计理论 · 数学
Penalized quasi likelihood estimation for variable selection
Yoshiki Kinoshita, Nakahiro Yoshida
2019-10-30
数值分析 · 数学
Volume penalization for inhomogeneous Neumann boundary conditions modeling scalar flux in complicated geometry
Teluo Sakurai, Katsunori Yoshimatsu, Naoya Okamoto, Kai Schneider
2019-05-13
应用统计 · 统计学
An Investigation of Methods for Handling Missing Data with Penalized Regression
Yunjin Choi, Robert Tibshirani
2013-10-09
机器学习 · 计算机科学
Optimization with Sparsity-Inducing Penalties
Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2011-11-24
统计方法学 · 统计学
A Variational View on Statistical Multiscale Estimation
Markus Haltmeier, Housen Li, Axel Munk
2022-03-11
统计方法学 · 统计学
Penalized Likelihood Parameter Estimation for Differential Equation Models: A Computational Tutorial
Matthew J Simpson, James S Bennett, Alexander Johnston, Ruth E Baker
2026-02-06
统计理论 · 数学
Inference for Multivariate Normal Mixtures
Jiahua Chen, Xianming Tan
2008-05-27
概率论 · 数学
Finite size scaling for homogeneous pinning models
Julien Sohier
2015-02-27
统计方法学 · 统计学
On the estimation of variance parameters in non-standard generalised linear mixed models: Application to penalised smoothing
María Xosé Rodríguez-Álvarez, Maria Durban, Dae-Jin Lee, Paul H. C. Eilers
2018-06-13
机器学习 · 统计学
Learning Mixed Graphical Models
Jason D. Lee, Trevor J. Hastie
2013-07-05
统计理论 · 数学
Variable Selection in Causal Inference Using Penalization
Ashkan Ertefaie, Masoud Asgharian, David A. Stephens
2014-06-06
统计方法学 · 统计学
Sparse inference in Poisson Log-Normal model by approximating the L0-norm
Togo Jean Yves Kioye, Paul-Marie Grollemund, Jocelyn Chauvet, Pierre Druilhet +2
2024-03-27
数据结构与算法 · 计算机科学
Estimation of Simultaneously Sparse and Low Rank Matrices
Emile Richard, Pierre-Andre Savalle, Nicolas Vayatis
2012-07-03
统计理论 · 数学
A martingale approach to continuous-time marginal structural models
Kjetil Røysland
2011-07-15
数值分析 · 数学
Note on a weakly over-penalised symmetric interior penalty method on anisotropic meshes for the Poisson equation, Ver. 1
Hiroki Ishizaka
2024-03-19
统计方法学 · 统计学
Penalized robust estimators in logistic regression with applications to sparse models
Ana M. Bianco, Graciela Boente, Gonzalo Chebi
2020-02-14
统计方法学 · 统计学
Penalized Maximum Likelihood Estimator for Skew Normal Mixtures
Libin Jin, Wangli Xu, Liping Zhu, Lixing Zhu
2016-08-05
统计方法学 · 统计学
Structural modeling using overlapped group penalties for discovering predictive biomarkers for subgroup analysis
Chong Ma, Wenxuan Deng, Shuangge Ma, Ray Liu +1
2019-04-29
统计方法学 · 统计学
Permutation Weighting
David Arbour, Drew Dimmery, Arjun Sondhi
2020-07-16
统计理论 · 数学
Regularized Bridge-type estimation with multiple penalties
Alessandro De Gregorio, Francesco Iafrate
2020-11-02
统计理论 · 数学
Comparing two samples by penalized logistic regression
Konstantinos Fokianos
2008-07-17