Now showing items 10-29 of 32

    • Larger Posterior Mode Wavelet Thresholding and Applications 

      Cutillo, Luisa; Jung, Yoon Young; Ruggeri, Fabrizio; Vidakovic, Brani (Georgia Institute of Technology, 2005-07-01)
      This paper explores the thresholding rules induced by a variation of the Bayesian MAP principle. The MAP rules are Bayes actions that maximize the posterior. The proposed rule is thresholding and always picks the mode of ...
    • Linear Feature Identification and Inference in Nano-Scale Images 

      Lavrik, Ilya A.; Vidakovic, Brani (Georgia Institute of Technology, 2005)
      In this paper a novel method for the analysis of straight line alignment of features in the images based on Hough and Wavelet transforms is proposed. The new method is designed to work specifically with nanoscale images, ...
    • Multifractal Discrimination Model of High-Frequency Pupil-diameter Measurements 

      Shi, Bin; Moloney, Kevin P.; Emery, V. Kathlene; Jacko, Julie A.; Sainfort, François; Vidakovic, Brani (Georgia Institute of Technology, 2003-10-10)
      Multifractality present in high frequency pupil diameter measurements, usually connected with irregular scaling behavior and self-similarity, is modeled with statistical accuracy. A multifractal spectrum is used to ...
    • Multiscale Forecasting Method using ARMAX Models 

      Chen, Hongmei; Vidakovic, Brani; Mavris, Dimitri N. (Georgia Institute of Technology, 2004)
      In this paper we propose a new forecasting methodology that comprises simultaneous level wise modeling in the wavelet domain. The WAW methodology (short for wavelet armax winters) uses three modeling strategies: ARMAX ...
    • New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies 

      Begović, Miroslav; Djuric, Petar; Perkel, Joshua; Vidakovic, Brani; Novosel, Damir (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006)
      When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Often times, only partial information is ...
    • On Bayesian estimation of multinomial probabilities under incomplete experimental information 

      Ramírez, Pepa; Vidakovic, Brani (Georgia Institute of Technology, 2007-05-28)
      In this note, we discuss Bayesian estimation of multinomial probabilities associated with a finite alphabet A, under incomplete experimental information. Two types of prior information are considered: (i) number of letters ...
    • Optimal testing in functional analysis of variance models 

      Antoniadis, Anestis; Vidakovic, Brani; Abramovich, Felix; Sapatinas, Theofanis (Georgia Institute of Technology, 2002)
      We consider the testing problem in a general functional analysis of variance model. We test the null hypotheses that the main effects and/or the interactions are zeros against the composite nonparametric alternative ...
    • Quantifying the Effects of Atmospheric Stability on the Multifractal Spectrum of Turbulence 

      Shi, Bin; Vidakovic, Brani; Katul, Gabriel G. (Georgia Institute of Technology, 2004)
      Over the past decade, several studies suggested possible analogy between price dynamics in the foreign exchange market and atmospheric turbulent flows. Such analogies suggest that applications in business and industry can ...
    • Resampling hierarchical processes in the wavelet domain: A case study using atmospheric turbulence 

      Angelini, Claudia; Cava, Daniela; Katul, Gabriel G.; Vidakovic, Brani (Georgia Institute of Technology, 2004-05-20)
      There is a growing need for statistical methods that generate an ensemble of plausible realizations of a hierarchical process from a single run or experiment. The main challenge is how to construct such an ensemble in a ...
    • Self-similarity in NMR spectra: an application in assessing the level of cysteine 

      Jung, Yoon Young; Park, Youngja; Jones, Dean P.; Ziegler, Thomas R.; Vidakovic, Brani (Georgia Institute of Technology, 2007-01-15)
      High resolution of NMR spectroscopic data of biosamples are a rich source of information on the metabolic response to physiological variation or pathological events. There are many advantages of NMR techniques such as the ...
    • Testing Equality of Autocovariance Functions 

      Lund, Robert; Vidakovic, Brani; Vidyashankar, Anand N. (Georgia Institute of Technology, 2004-09-22)
      This paper introduces a simple frequency domain test to discern whether two stationary time series have the same autocovariance function. The driving idea is that two stationary short-memory autocovariances coincide over ...
    • Testing Equality of Stationary Autocovariances 

      Lund, Robert; Bassily, Hany; Vidakovic, Brani (Georgia Institute of Technology, 2007-08-09)
      This paper studies tests for assessing whether two stationary and independent time series have the same dynamics, specifically, whether the autocovariances of both series coincide at all lags. Several frequency domain ...
    • Two-Step Wavestrapping: Simulating Non-Stationary Acceleration Data in the Mobile Computing Context 

      Yi, Ji Soo; Jung, Yoon Young; Jacko, Julie A.; Sainfort, François; Vidakovic, Brani (Georgia Institute of Technology, 2005-12-16)
      Measurements of acceleration provide an important source of information in understanding and predicting the movements of mobile computer users. However, collecting acceleration data can require substantial time and resources ...
    • Uncertainty Analysis in Using Markov Chain Model to Predict Roof Life Cycle Performance 

      Zhang, Yan; Vidakovic, Brani; Augenbroe, Godfried (Georgia Institute of Technology, 2005)
      Making decisions on building maintenance policies is an important topic in facility management. To evaluate different maintenance policies and make rational selection, both performance and maintenance cost of building ...
    • Wavelet Bayesian Block Shrinkage via Mixtures of Normal-Inverse Gamma Priors 

      De Canditiis, Daniela; Vidakovic, Brani (Georgia Institute of Technology, 2001)
      In this paper we propose a block shrinkage method in the wavelet domain for estimating an unknown function in the presence of Gaussian noise. This shrinkage utilizes an empirical Bayes, block-adaptive approach that accounts ...
    • Wavelet Estimation of a Baseline Signal From Repeated Noisy Measurements by Vertical Block Shrinkage 

      Chang, Woojin; Vidakovic, Brani (Georgia Institute of Technology, 2001)
      In this paper a new wavelet shrinkage technique is proposed and investigated. When data consist of a multiplicity of related noisy signals, we propose a wavelet-based shrinkage estimation procedure to summarize all data ...
    • Wavelet Functional ANOVA, Bayesian False Discovery Rate, and Longitudinal Measurements of Oxygen Pressure in Rats 

      Rosner, Gary L.; Vidakovic, Brani (Georgia Institute of Technology, 2000)
      Linear models can be functional in terms of independent or response variables or both. In functional ANOVA-type models often used to model longitudinal measurements and general time series, however, all components have a ...
    • Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Images 

      Derado, Gordana; Bowman, F. DuBois; Patel, Rajan; Newell, Mary; Vidakovic, Brani (Georgia Institute of Technology, 2007)
      Cancer detection using mammography focuses on characteristics of tiny microcalcifications, including the number, size, and spatial arrangement of microcalcification clusters as well as morphological features of individual ...
    • Wavelet-based 2D Multifractal Spectrum with Applications in Analysis of Digital Mammography Images 

      Ramírez, Pepa; Vidakovic, Brani (Georgia Institute of Technology, 2007-07-26)
      Breast cancer is the second leading cause of death in women in the United States and at present, mammography is the only proven method that can detect minimal breast cancer. On the other hand, many medical images demonstrate ...
    • Wavelet-based 3-D Multifractal Spectrum with Applications in Breast MRI Images 

      Derado, Gordana; Lee, Kichun; Nicolis, Orietta; Bowman, F. DuBois; Newell, Mary; Ruggeri, Fabrizio; Vidakovic, Brani (Georgia Institute of Technology, 2008)
      Breast cancer is the second leading cause of death in women in the United States. Breast Magnetic Resonance Imaging (BMRI) is an emerging tool in breast cancer diagnostics and research, and it is becoming routine in clinical ...