Search Results - "Dayanik, Savas"

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  1. 1

    Detection and identification of changes of hidden Markov chains: asymptotic theory by Dayanik, Savas, Yamazaki, Kazutoshi

    “…This paper revisits a unified framework of sequential change-point detection and hypothesis testing modeled using hidden Markov chains and develops its…”
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  2. 2

    Asymptotically optimal Bayesian sequential change detection and identification rules by Dayanik, Savas, Powell, Warren B., Yamazaki, Kazutoshi

    Published in Annals of operations research (01-09-2013)
    “…We study the joint problem of sequential change detection and multiple hypothesis testing. Suppose that the common distribution of a sequence of i.i.d. random…”
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  3. 3

    On the optimal stopping problem for one-dimensional diffusions by Dayanik, Savas, Karatzas, Ioannis

    “…A new characterization of excessive functions for arbitrary one-dimensional regular diffusion processes is provided, using the notion of concavity. It is shown…”
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  4. 4

    Optimal Multiple Stopping of Linear Diffusions by Carmona, Rene, Dayanik, Savas

    Published in Mathematics of operations research (01-05-2008)
    “…Motivated by the analysis of financial instruments with multiple exercise rights of American type and mean reverting underlyers, we formulate and solve the…”
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  5. 5

    Optimal Stopping Problems for Asset Management by Dayanik, Savas, Egami, Masahiko

    Published in Advances in applied probability (01-09-2012)
    “…An asset manager invests the savings of some investors in a portfolio of defaultable bonds. The manager pays the investors coupons at a constant rate and…”
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  6. 6

    Bayesian Sequential Change Diagnosis by Dayanik, Savas, Goulding, Christian, Poor, H. Vincent

    Published in Mathematics of operations research (01-05-2008)
    “…Sequential change diagnosis is the joint problem of detection and identification of a sudden and unobservable change in the distribution of a random sequence…”
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  7. 7

    An Adaptive Bayesian Replacement Policy with Minimal Repair by Dayanik, Savas, GUrler, UlkU

    Published in Operations research (01-05-2002)
    “…In this study, an adaptive Bayesian decision model is developed to determine the optimal replacement age for the systems maintained according to a general…”
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  9. 9

    Optimal Stopping of Linear Diffusions with Random Discounting by Dayanik, Savas

    Published in Mathematics of operations research (01-08-2008)
    “…We propose a new solution method for optimal stopping problems with random discounting for linear diffusions whose state space has a combination of natural,…”
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  10. 10

    Dynamic bidding strategies in search-based advertising by Dayanik, Savas, Parlar, Mahmut

    Published in Annals of operations research (01-12-2013)
    “…Search-based advertising allows the advertisers to run special campaigns targeted to different groups of potential consumers at low costs. Google, Yahoo and…”
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  11. 11

    Optimal dynamic multi-keyword bidding policy of an advertiser in search-based advertising by Dayanik, Savas, Sezer, Semih O.

    “…Sponsored search advertisement allows advertisers to target their messages to appropriate customer segments at low costs. While search engines are interested…”
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  12. 12

    Wiener Disorder Problem with Observations at Fixed Discrete Time Epochs by Dayanik, Savas

    Published in Mathematics of operations research (01-11-2010)
    “…Suppose that a Wiener process gains a known drift rate at some unobservable disorder time with some zero-modified exponential distribution. The process is…”
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  13. 13

    Model Misspecification in Discrete Time Bayesian Online Change Detection by Dayanik, Savas, Sezer, Semih O

    “…We revisit the classical formulation of the discrete time Bayesian online change detection problem in which the common distribution of an observed sequence of…”
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  14. 14

    Optimal Stopping Problems for Asset Management by Dayanik, Savas, Egami, Masahiko

    Published in Advances in applied probability (01-09-2012)
    “…An asset manager invests the savings of some investors in a portfolio of defaultable bonds. The manager pays the investors coupons at a constant rate and…”
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    Journal Article
  15. 15

    Compound Poisson Disorder Problems with Nonlinear Detection Delay Penalty Cost Functions by Dayanik, Savas

    Published in Sequential analysis (01-04-2010)
    “…The quickest detection of the unknown and unobservable disorder time, when the arrival rate and mark distribution of a compound Poisson process suddenly…”
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  16. 16

    Sequential Sensor Installation for Wiener Disorder Detection by Dayanik, Savas, Sezer, Semih O.

    Published in Mathematics of operations research (01-08-2016)
    “…We consider a centralized multisensor online quickest disorder detection problem where the observation from each sensor is a Wiener process gaining a constant…”
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  17. 17

    Compound Poisson Disorder Problem by Dayanik, Savas, Sezer, Semih Onur

    Published in Mathematics of operations research (01-11-2006)
    “…In the compound Poisson disorder problem, arrival rate and/or jump distribution of some compound Poisson process changes suddenly at some unknown and…”
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  18. 18

    Multisource Bayesian sequential binary hypothesis testing problem by Dayanik, Savas, Sezer, Semih O.

    Published in Annals of operations research (01-12-2012)
    “…We consider the problem of testing two simple hypotheses about unknown local characteristics of several independent Brownian motions and compound Poisson…”
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  19. 19

    Poisson Disorder Problem with Exponential Penalty for Delay by Bayraktar, Erhan, Dayanik, Savas

    Published in Mathematics of operations research (01-05-2006)
    “…We solve the Poisson disorder problem when the delay is penalized exponentially. Our objective is to detect as quickly as possible the unobservable time of the…”
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  20. 20

    Adaptive Poisson Disorder Problem by Bayraktar, Erhan, Dayanik, Savas, Karatzas, Ioannis

    Published in The Annals of applied probability (01-08-2006)
    “…We study the quickest detection problem of a sudden change in the arrival rate of a Poisson process from a known value to an unknown and unobservable value at…”
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