• Publications
  • Influence
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness
TLDR
This paper proposes a method to combat user fatigue by augmenting user evaluations with a synthetic fitness function. Expand
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Inference on Higher-Order Spatial Autoregressive Models with Increasingly Many Parameters
This paper develops consistency and asymptotic normality of parameter estimates for a higher-order spatial autoregressive model whose order, and number of regressors, are allowed to approach infinityExpand
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Pseudo Maximum Likelihood Estimation of Spatial Autoregressive Models with Increasing Dimension
Pseudo maximum likelihood estimates are developed for higher-order spatial autoregres- sive models with increasingly many parameters, including models with spatial lags in the dependent variables andExpand
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A Proposed Method in Agile Practices to Create Requirements Documentation and Test Cases
TLDR
This paper proposes an action based method for capturing the software application requirements in a structured way and creating test cases based on these requirements. Expand
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Nonparametric specification testing via the trinity of tests
Tests are developed for inference on a parameter vector whose dimension grows slowly with sample size. The statistics are based on the Lagrange Multiplier, Wald and (pseudo) Likelihood RatioExpand
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Autoregressive spatial spectral estimates
Autoregressive spectral density estimation for stationary random fields on a regular spatial lattice has many advantages relative to kernel based methods. It provides a guaranteed positive-definiteExpand
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Credit Market Spillovers: Evidence from a Syndicated Loan Market Network
A large theoretical literature emphasizes the importance of financial networks, but empirical studies remain scarce. Due to overlapping bank portfolios, the syndicated loan market provides a naturalExpand
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Repeat Bidding on Internet-Based Multiple-Item “Name-Your-Own-Price” Auctions
  • A. Gupta, Ali E. Abbas
  • Business, Computer Science
  • IEEE Transactions on Engineering Management
  • 4 August 2008
TLDR
We use Monte Carlo simulation to discuss the effects of various auction parameters on the firm's expected profit, and show that the presence of multiple bidding items provides a win-win situation for both the auction firm and the bidders. Expand
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Study of Energy Efficient Clustering Algorithmsfor Wireless Sensor Network
Energy utilization and network life time are key issues in design of routing protocols for Wireless sensor network. Many algorithms have been proposed for reducing energy consumption and to increaseExpand
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Order Selection and Inference with Long Memory Dependent Data
In empirical studies selection of the order of a model is routinely invoked. A common example is the order selection of an autoregressive model via Akaike's AIC, Schwarz's BIC or Hannan and Quinn'sExpand
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