Distribution Regression Difference-In-Differences

no code implementations • 3 Sep 2024 • Iván Fernández-Val, Jonas Meier, Aico van Vuuren, Francis Vella

We provide a simple distribution regression estimator for treatment effects in the difference-in-differences (DiD) design.

counterfactual regression

Conditional Rank-Rank Regression

no code implementations • 8 Jul 2024 • Victor Chernozhukov, Iván Fernández-Val, Jonas Meier, Aico van Vuuren, Francis Vella

The difference between conditional and unconditional rank-rank regression coefficients can then be interpreted as a measure of between-group persistence.

regression

Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets

no code implementations • 4 May 2021 • Martin Huber, Jonas Meier, Hannes Wallimann

Considering a survey-based sample of buyers of supersaver tickets, we investigate which customer- or trip-related characteristics (including the discount rate) predict buying behavior, namely: booking a trip otherwise not realized by train, buying a first- rather than second-class ticket, or rescheduling a trip (e. g.\ away from rush hours) when being offered a supersaver ticket.

BIG-bench Machine Learning

Large Population Sizes and Crossover Help in Dynamic Environments

no code implementations • 21 Apr 2020 • Johannes Lengler, Jonas Meier

In this paper, we study the effect of larger population sizes for Dynamic BinVal, the extremal form of dynamic linear functions.

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

1 code implementation • International Conference on Computer Vision Workshops 2019 • Dawei Du, Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Lin, QinGhua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang

Results of 33 object detection algorithms are presented.

Object object-detection +1