Stochastic Models of Decision Making in Arranged Marriages
The central objective of this work is to demonstrate how the theory of stochastic processes and the techniques of stochastic modeling can be used to effectively model arranged marriage settings and to help explain various aspects of the nature of decision-making in arranged marriages. Economists and social scientists more generally will find this book useful when conducting empirical and theoretical research on a subject of considerable importance in contemporary times.
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Aspects of Arranged Marriages and the Theory of Markov Decision
On Decision Making in Arranged Marriages with a Stochastic
On the Likelihood of Finding the Right Partner in an Arranged Marriage
2 other sections not shown
absorbing set agent wishing agent's optimal policy agent's well-wishers analysis analyzed arranged marriage option arranged marriage settings Aspects of Arranged Auboyer Batabyal bride chapter compute conditional probability current marriage proposal decision making process decision problem desired number dowry offers dynamic and stochastic Economics expected number expected total cost expected utility exponentially distributed exposure level random female agent female client getting married groom groom's family India invariant decision rule Journal level random variable likelihood literature love marriage option Mace Markov Decision Processes marriage decision marrying agent marrying agent's decision marrying agent's optimal matching successes matchmaker mediator mediator's preferred dowry model of decision number of matching number of successes optimal stopping optimal to wait OSLAP preferred dowry amount Prob(z probability density function question reader should note recall of previous reservation quality level result Ross s)he say yes stationary policy statistically independent Stochastic Analysis stochastic models stochastic process strategy tells variant decision rule