Results 11 to 20 of about 2,389,074 (237)
Partial Identification in Econometrics [PDF]
Annual Review of Economics, 2010 Identification in econometric models maps prior assumptions and the data to information about a parameter of interest. The partial identification approach to inference recognizes that this process should not result in a binary answer that consists of whether the parameter is point identified. Rather, given the data, the partial identification approach
exaly +6 more sources
Theoretical and Applied Mechanics Letters, 2022 Data-driven partial differential equation identification is a potential breakthrough to solve the lack of physical equations in complex dynamic systems.
Wenbo Cao, Weiwei Zhang
doaj +3 more sources
Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes. [PDF]
J Am Stat Assoc, 2018 Swanson SA +4 more
europepmc +2 more sources
Automated partial differential equation identification
The Journal of the Acoustical Society of America, 2021 Inspired by recent developments in data-driven methods for partial differential equation (PDE) estimation, we use sparse modeling techniques to automatically estimate PDEs from data. A dictionary consisting of hypothetical PDE terms is constructed using numerical differentiation. Given data, PDE terms are selected assuming a parsimonious representation,
Ruixian Liu +2 more
openaire +4 more sources
Partial Structural Break Identification [PDF]
Oxford Bulletin of Economics and Statistics, 2017 AbstractWe propose an extension of the existing information criterion‐based structural break identification approaches. The extended approach helps identify both pure structural change (break) and partial structural change (break). A pure structural change refers to the case when breaks occur simultaneously in all parameters of regression equation ...
Han, C., Taamouti, A.
openaire +3 more sources
Sensing Image Regions for Enhancing Accuracy in People Re-identification [PDF]
Iranica Journal of Energy and Environment, 2022 Video surveillance systems are widely used in the public and private sectors for maintaining security and healthcare purposes. Performance of surveillance systems directly depends on their accuracy in re-identification.
H. Hassanpour, Z. Mortezaie, A. Beghdadi
doaj +1 more source
Fractal and Fractional, 2022 In this paper, the partial topology identification of stochastic multi-group models with multiple dispersals is investigated. Based on adaptive pinning control and a graph-theoretic method, some sufficient criteria about partial topology identification ...
Chunmei Zhang +5 more
doaj +1 more source
Partial Pedestrain Re-Identification Based on Pose-Guided Alignment Network [PDF]
Jisuanji gongcheng, 2020 In partial pedestrian re-identification,serious spatial misalignment will be caused when the partial image of a pedestrian is directly compared with the holistic image,leading to a failure in target detection.To solve the mismatch of the partial ...
ZHENG Ye, ZHAO Jieyu, WANG Chong, ZHANG Yi
doaj +1 more source
Microeconometrics with Partial Identification [PDF]
, 2020 This chapter reviews the microeconometrics literature on partial identification, focusing on the developments of the last thirty years. The topics presented illustrate that the available data combined with credible maintained assumptions may yield much information about a parameter of interest, even if they do not reveal it exactly.
openaire +4 more sources
Partial identification of nonlinear peer effects models with missing data
Swiss Journal of Economics and Statistics, 2022 This paper examines inference on social interactions models in the presence of missing data on outcomes. In these models, missing data on outcomes imply an incomplete data problem on both the endogenous variable and the regressors.
Carlos Madeira
doaj +1 more source