partial identification - Robuta Search

https://openreview.net/forum?id=SSVaDQPqVA Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming |... Causal effect estimation is a crucial theoretical tool in uncertainty analysis. The challenge of unobservable confoundings has raised concerns regarding... partial identification https://ideas.repec.org/a/eee/econom/v144y2008i1p81-117.html Partial identification of probability distributions with misclassified data Downloadable (with restrictions)! This paper addresses the problem of data errors in discrete variables. When data errors occur, the observed variable is a... partial identification probability distributions data https://ideas.repec.org/p/soz/wpaper/0918.html Partial Identification of Discrete Counterfactual Distributions with Sequential Update of... Downloadable! The credibility of standard instrumental variables assumptions is often under dispute. This paper imposes weak monotonicity in order to gain... partial identification discrete counterfactual distributions sequential https://arxiv.org/abs/2404.11057v2 [2404.11057v2] Partial Identification of Structural Vector Autoregressions with Non-Centred... Abstract page for arXiv paper 2404.11057v2: Partial Identification of Structural Vector Autoregressions with Non-Centred Stochastic Volatility partial identification 2404 https://arxiv.org/abs/2404.11057v1 [2404.11057v1] Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian... Abstract page for arXiv paper 2404.11057v1: Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference partial identification 2404 https://ideas.repec.org/p/idb/brikps/9520.html Partial Identification of Population Average and Quantile Treatment Effects in Observational Data... Downloadable! We partially identify population treatment effects in observational data under sample selection, without the benefit of random treatment... partial identification population average https://deepai.org/publication/progressive-identification-of-true-labels-for-partial-label-learning Progressive Identification of True Labels for Partial-Label Learning | DeepAI Feb 19, 2020 - 02/19/20 - Partial-label learning is one of the important weakly supervised learning problems, where each training example is equipped with a... progressive identification true labels partial https://www.econstor.eu/handle/10419/80566 EconStor: Partial Identification of the Long-Run Causal Effect of Food Security on Child Health EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. https://www.mdpi.com/1424-8220/23/18/7727 A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and... Capacitive equipment refers to its insulation design using the principle of capacitance of electrical equipment, mainly by a variety of different capacitive... smart grid identification system https://openreview.net/forum?id=h2WIiouJEm Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification... Under the prevalent potential outcome model in causal inference, each unit is associated with multiple potential outcomes but at most one of which is observed,... optimal transport bridging multiple worlds marginal https://www.muni.cz/en/research/publications/1484114 Identification and partial characterization of a novel serpin from Eudiplozoon nipponicum... a novel identification partial characterization https://openreview.net/forum?id=AygwZzdCM0 Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model |... Counterfactual inference aims to answer retrospective "what if" questions and thus belongs to the most fine-grained type of inference in Pearl's causality... with a partial counterfactual identification continuous https://ideas.repec.org/p/iza/izadps/dp5066.html Partial Identification of Willingness-to-Pay Using Shape Restrictions with an Application to the... Downloadable! Economists often analyze cross-sectional data to estimate the value people implicit place on attributes of goods using hedonic methods. Usually... willingness to pay https://deepai.org/publication/deep-spatial-feature-reconstruction-for-partial-person-re-identification-alignment-free-approach Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach |... Jan 3, 2018 - 01/03/18 - Partial person re-identification (re-id) is a challenging problem, where only some partial observations (images) of persons are av... https://ideas.repec.org/p/fce/doctra/1824.html Identification with External Instruments in Structual VARs under partial invertibility Downloadable! This paper discusses the conditions for identification with external instruments in Structural VARs under partial invertibility. We observe that... identification external instruments vars partial https://www.atlantis-press.com/proceedings/icmse-15/25845704 Identification of the multivariable outliers using T2 eclipse chart based on the improved Partial... When there is multi-variables in a sample, some samples which obviously disturb the relationships among variables are called outlier samples. However the... https://ideas.repec.org/p/arx/papers/2401.00264.html Identification in Nonlinear Dynamic Panel Models under Partial Stationarity Downloadable! This paper provides a general identification approach for a wide range of nonlinear panel data models, including binary choice, ordered response,... identification nonlinear dynamic panel models https://openreview.net/forum?id=StHUKqZGNs Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental... There has been considerable recent interest in estimating heterogeneous causal effects. In this paper, we study conditional average partial causal effects... identification estimation conditional