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An estimation procedure that is often claimed to be part of Bayesian statistics is the maximum a posteriori (MAP) estimate of an unknown quantity, that equals the mode of the posterior density with respect to some reference measure, typically the Lebesgue measure.
National Institute of Family and Life Advocates v. Becerra, 585 U.S. 755 (2018), was a case before the Supreme Court of the United States addressing the constitutionality of California's FACT Act, which mandated that crisis pregnancy centers provide certain disclosures about state services.
California has an active abortion rights activist community. Society for Human Abortion was founded in 1963 in San Francisco. People in California participated in #StopTheBans protested in May 2019, including at protests in San Francisco and Los Angeles. There is also an active anti-abortion rights community.
‘We are outlawing misinformation,’ a California lawmaker said of her bill to restrict ‘crisis pregnancy centers’ from misrepresenting whether they provide abortion services.
California Atty. Gen. Rob Bonta said the lawsuit alleging false advertisement seeks to end misinformation touted by crisis pregnancy centers.
where ^ is the location of a mode of the joint target density, also known as the maximum a posteriori or MAP point and is the positive definite matrix of second derivatives of the negative log joint target density at the mode = ^. Thus, the Gaussian approximation matches the value and the log-curvature of the un-normalised target density at the ...
Crisis pregnancy centers “often provide inaccurate information that may delay or interfere with women’s access to abortion and contraceptive services,” according to the Guttmacher Institute.
From a given posterior distribution, various point and interval estimates can be derived, such as the maximum a posteriori (MAP) or the highest posterior density interval (HPDI). [4] But while conceptually simple, the posterior distribution is generally not tractable and therefore needs to be either analytically or numerically approximated. [5]
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