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We study the large sample behaviors of approximate Bayesian computation (ABC) posterior measures in situations when the data generating process is dependent on non-identifiable parameters. In particular, we establish the concentration of posterior me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::20dc0d35b01af51f0e84fdcb04943972
https://hal.science/hal-03987197
https://hal.science/hal-03987197