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ORCIDManabu Kuroki
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2020 – today
- 2024
[c21]Ryusei Shingaki, Manabu Kuroki:
Identification and Estimation of "Causes of Effects" using Covariate-Mediator Information. AISTATS 2024: 3574-3582- [c20]Haruka Yoshida, Manabu Kuroki:
Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference. IJCAI 2024: 7136-7143 - [c19]Ryusei Shingaki
, Manabu Kuroki:
New Proportion Measures of Discrimination Based on Natural Direct and Indirect Effects. ISAIM 2024: 165-181 - [i9]Yuta Kawakami, Manabu Kuroki, Jin Tian:
Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable. CoRR abs/2401.11130 (2024) - [i8]Yuta Kawakami, Manabu Kuroki, Jin Tian:
Probabilities of Causation for Continuous and Vector Variables. CoRR abs/2405.20487 (2024) - 2023
- [j3]Taiki Tezuka, Manabu Kuroki:
An unbiased estimator of the causal effect on the variance based on the back-door criterion in Gaussian linear structural equation models. J. Multivar. Anal. 197: 105201 (2023) - [c18]Yuta Kawakami, Ryusei Shingaki, Manabu Kuroki:
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance. AAAI 2023: 12234-12242 - [c17]Ryusei Shingaki, Manabu Kuroki:
Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information. AAAI 2023: 12287-12294 - [c16]Yuta Kawakami, Manabu Kuroki, Jin Tian:
Instrumental Variable Estimation of Average Partial Causal Effects. ICML 2023: 16097-16130 - 2022
- [c15]Hisayoshi Nanmo, Manabu Kuroki:
Partially adaptive regularized multiple regression analysis for estimating linear causal effects. UAI 2022: 1456-1465 - 2021
- [j2]Hisayoshi Nanmo, Manabu Kuroki:
Exact variance formula for the estimated mean outcome with external intervention based on the front-door criterion in Gaussian linear structural equation models. J. Multivar. Anal. 185: 104766 (2021) - [c14]Ryusei Shingaki, Manabu Kuroki:
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information. NeurIPS 2021: 26475-26486
2010 – 2019
- 2017
- [j1]Takashi Isozaki, Manabu Kuroki:
Learning Causal Graphs with Latent Confounders in Weak Faithfulness Violations. New Gener. Comput. 35(1): 29-45 (2017) - 2015
- [c13]Takashi Isozaki, Manabu Kuroki:
Learning Maximal Ancestral Graphs with Robustness for Faithfulness Violations. AMBN@JSAI-isAI 2015: 196-208 - 2014
- [c12]Takahiro Hayashi, Manabu Kuroki:
On Estimating Causal Effects based on Supplemental Variables. AISTATS 2014: 312-319 - 2012
- [c11]Hei Chan, Manabu Kuroki:
Identification of Causal Effects in Linear SEMs using the Instrumental Variable Function. ISAIM 2012 - [i7]Zhihong Cai, Manabu Kuroki:
On Identifying Total Effects in the Presence of Latent Variables and Selection bias. CoRR abs/1206.3239 (2012) - [i6]Manabu Kuroki, Zhihong Cai:
The Evaluation of Causal Effects in Studies with an Unobserved Exposure/Outcome Variable: Bounds and Identification. CoRR abs/1206.3267 (2012) - [i5]Manabu Kuroki, Zhihong Cai:
Evaluation of the Causal Effect of Control Plans in Nonrecursive Structural Equation Models. CoRR abs/1206.5272 (2012) - [i4]Manabu Kuroki, Zhihong Cai:
Stratified Analysis of 'Probabilities of Causation'. CoRR abs/1206.6861 (2012) - [i3]Zhihong Cai, Manabu Kuroki:
Counterfactual Reasoning in Linear Structural Equation Models. CoRR abs/1207.1376 (2012) - [i2]Manabu Kuroki, Zhihong Cai, Hiroki Motogaito:
The Graphical Identification for Total Effects by using Surrogate Variables. CoRR abs/1207.1392 (2012) - [i1]Manabu Kuroki, Zhihong Cai:
Selection of Identifiability Criteria for Total Effects by using Path Diagrams. CoRR abs/1207.4140 (2012) - 2010
- [c10]Hei Chan, Manabu Kuroki:
Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs. AISTATS 2010: 73-80
2000 – 2009
- 2008
- [c9]Zhihong Cai, Manabu Kuroki:
On Identifying Total Effects in the Presence of Latent Variables and Selection bias. UAI 2008: 62-69 - [c8]Manabu Kuroki, Zhihong Cai:
On Identifying Total Effects in the Presence of Latent Variables and Selection bias. UAI 2008: 333-340 - 2007
- [c7]Manabu Kuroki, Zhihong Cai:
Evaluation of the Causal Effect of Control Plans in Nonrecursive Structural Equation Models. UAI 2007: 227-234 - 2006
- [c6]Manabu Kuroki, Zhihong Cai:
Stratified Analysis of 'Probabilities of Causation'. UAI 2006 - 2005
- [c5]Manabu Kuroki, Zhihong Cai:
Instrumental variable tests for Directed Acyclic Graph Models. AISTATS 2005: 190-197 - [c4]Zhihong Cai, Manabu Kuroki:
Counterfactual Reasoning in Linear Structural Equation Models. UAI 2005: 77-84 - [c3]Manabu Kuroki, Zhihong Cai, Hiroki Motogaito:
The Graphical Identification for Total Effects by using Surrogate Variables. UAI 2005: 340-345 - 2004
- [c2]Manabu Kuroki, Zhihong Cai:
Selection of Identifiability Criteria for Total Effects by using Path Diagrams. UAI 2004: 333-340 - 2003
- [c1]Manabu Kuroki, Zhihong Cai:
The Joint Causal Effect in Linear Structural Equation Model and Its Application to Process Analysis. AISTATS 2003: 179-186
Coauthor Index
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