Conditional variational autoencoders for causal inference with mismeasured treatments
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.advisor | Pöllänen, Antti | |
| dc.contributor.author | Le, Son | |
| dc.contributor.school | Perustieteiden korkeakoulu | fi |
| dc.contributor.supervisor | Käpylä, Maarit | |
| dc.date.accessioned | 2022-05-24T08:10:27Z | |
| dc.date.available | 2022-05-24T08:10:27Z | |
| dc.date.issued | 2022-04-15 | |
| dc.format.extent | 44+1 | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/114573 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202205243420 | |
| dc.language.iso | en | en |
| dc.programme | Aalto Bachelor’s Programme in Science and Technology | fi |
| dc.programme.major | Data Science | en |
| dc.programme.mcode | SCI3095 | fi |
| dc.subject.keyword | conditional variational autoencoder | en |
| dc.subject.keyword | importance sampling | en |
| dc.subject.keyword | measurement error | en |
| dc.subject.keyword | causal inference | en |
| dc.subject.keyword | average dose-response function | en |
| dc.title | Conditional variational autoencoders for causal inference with mismeasured treatments | en |
| dc.type | G1 Kandidaatintyö | fi |
| dc.type.dcmitype | text | en |
| dc.type.ontasot | Bachelor's thesis | en |
| dc.type.ontasot | Kandidaatintyö | fi |