We consider an extension of the classical secretary problem where a decision maker observes only the relative ranks of a sequence of up to N applicants, whose true values are i.i.d. U[0,1] random variables. Applicants arrive according to a homogeneous Poisson Process, and the decision maker seeks to maximize the expected time-discounted value of the applicant who she ultimately selects. This provides a straightforward and natural objective while retaining the structure of limited information based on relative ranks. We derive the optimal policy in the sequential search, and show that the solution converges as N goes to infinity. We compare these results with a closely related full information problem in order to quantify these informational...
The classical secretary problem studies the problem of selecting online an element (a "secretary") w...
The secretary problem is a classic model for online decision making. Recently, combinatorial extensi...
Abstract. This paper is composed of two related parts. In the first, we present a dynamic programmin...
We present a generalization of a class of sequential search problems with ordinal ranks, referred to...
The cardinal secretary search problem confronts the decision-maker with more or less candidates who ...
Candidates arrive sequentially for an interview process which results in them being ranked relative ...
This volume contains the proceedings of the AMS-IMS-SIAM Joint Summer Research Conference on Strateg...
Sequential sampling problems may be affected significantly by the presence of sampling costs and the...
The cardinal secretary search problem confronts the decision maker with more or less candidates who ...
The cardinal secretary search problem confronts the decision maker with more or less candidates who ...
The cardinal secretary search problem confronts the decision maker with more or less candidates who ...
Sequential observation and selection behavior was examined in the context of employer hiring decisio...
textabstractThe classical secretary problem studies the problem of selecting online an element (a “s...
The classical secretary problem studies the problem of selecting online an element (a “secretary”) w...
The secretary problem is a classic model for online decision making. Recently, combinatorial extensi...
The classical secretary problem studies the problem of selecting online an element (a "secretary") w...
The secretary problem is a classic model for online decision making. Recently, combinatorial extensi...
Abstract. This paper is composed of two related parts. In the first, we present a dynamic programmin...
We present a generalization of a class of sequential search problems with ordinal ranks, referred to...
The cardinal secretary search problem confronts the decision-maker with more or less candidates who ...
Candidates arrive sequentially for an interview process which results in them being ranked relative ...
This volume contains the proceedings of the AMS-IMS-SIAM Joint Summer Research Conference on Strateg...
Sequential sampling problems may be affected significantly by the presence of sampling costs and the...
The cardinal secretary search problem confronts the decision maker with more or less candidates who ...
The cardinal secretary search problem confronts the decision maker with more or less candidates who ...
The cardinal secretary search problem confronts the decision maker with more or less candidates who ...
Sequential observation and selection behavior was examined in the context of employer hiring decisio...
textabstractThe classical secretary problem studies the problem of selecting online an element (a “s...
The classical secretary problem studies the problem of selecting online an element (a “secretary”) w...
The secretary problem is a classic model for online decision making. Recently, combinatorial extensi...
The classical secretary problem studies the problem of selecting online an element (a "secretary") w...
The secretary problem is a classic model for online decision making. Recently, combinatorial extensi...
Abstract. This paper is composed of two related parts. In the first, we present a dynamic programmin...