Showing papers in "CTIT technical reports series in 2016"

Changes in the prevalence of avian disease and mosquito vectors at Hakalau Forest National Wildlife Refuge: a 14-year perspective and assessment of future risk

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Evaluating detection and monitoring tools for incipient and relictual non-native ungulate populations

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Effects of Climate and land use on diversity, prevalence, and seasonal transmission of avian hematozoa in American Samoa

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Multivariate NoVaS and Inference on Conditional Correlations

Abstract: In this paper we present new results on the NoVaS transformation approach for volatility modeling and forecasting, continuing the previous line of research by Politis (2003a,b, 2007) and Politis and Thomakos (2008a, b). Our main contribution is that we extend the NoVaS methodology to modeling and forecasting conditional correlation, thus allowing NoVaS to work in a multivariate setting as well. We present exact results on the use of univariate transformations and on their combination for joint modeling of the conditional correlations: we show how the NoVaS transformed series can be combined and the likelihood function of the product can be expressed explicitly, thus allowing for optimization and correlation modeling. While this keeps the original “model-free” spirit of NoVaS it also makes the new multivariate NoVaS approach for correlations “semi-parametric”. We also present a number of auxiliary results regarding the empirical implementation of NoVaS based on different criteria for distributional matching. We illustrate our findings using simulated and real-world data.

Arthropods of Rose Atoll with special reference to ants and Pulvinaria urbicola scales (Hemiptera: coccidae) on Pisonia grandis trees.

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Abundance, distribution, and removals of feral pigs at Big Island National Wildlife Refuge Complex 2010-2015.

Abstract: Christina R. leopold1, Steven C. Hess2, Steve J. Kendall3, and Seth w. Judge1 1Hawaì i Cooperative Studies Unit, University of Hawaì i at Hilo, p.o. box 44, Hawaì i volcanoes national park, Hi 96718 2U.S. geological Survey, pacific island ecosystems Research Center, Kīlauea field Station, p.o. box 44, Hawaì i national park, Hi 96718 3big island national wildlife Refuge Complex, 60 nowelo Street, Suite 100, Hilo, Hawaì i 96720

Avian disease and mosquite vectors in the Kahuku Unit of Hawaii Volcanoes National Park and Ka'u Forest Reserve

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Ants of the national park of American Samoa

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Status and trends of the land bird avifauna on Tinian and Aguiguan, Mariana Islands.

Abstract: Richard J. Camp1, Thane K. Pratt2, Fred Amidon3, Ann P. Marshal3,, Shelly Kremer3, and Megan Laut3 1Hawai i Cooperative Studies Unit, Kilauea Field Station, P.O. Box 44, Hawai i National Park, Hawai i 2U.S. Geological Survey, Pacific Island Ecosystems Research Center, Kīlauea Field Station, P.O. Box 44, Hawai i National Park, HI 96718 3U.S. Fish and Wildlife Service Pacific Islands Office, 300 Ala Moana Boulevard, Honolulu, Hawai i

Farallon de Medinilla seabird and Tinian moorhen analyses.

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Survey of roadside alien plants in Hawai`i Volcanoes National Park and adjacent residential areas 2001-2005

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Changes in Mauna Kea dry forest structure 2000-2014

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Bandwidth Compression for a Bivariate Gaussian Source with Shannon-Kotel’nikov Mappings

Abstract: The analog transmission of a bivariate Gaussian source over a white Gaussian channel with 2:1 bandwidth compression is addressed in this paper. We propose two nonlinear coding structures for bandwidth compression based on the Shannon-Kotel’nikov (S-K) mappings. For each coding structure, the closed-form expression of distortion at any given channel SNR is derived and the optimal energy scaling for each source is computed. We perform theoretical deduction and numerical evaluations to compare the performances of the proposed schemes with a baseline linear mapping scheme. Results show that nonlinear schemes are superior to the linear scheme when the channel condition is good and the difference between the two sources is not too large. Among the proposed nonlinear schemes, the design to combine the two sources for S-K mapping with the optimal energy scaling yields the best performance.