Reconstruction of pre-instrumental, late Holocene climate is important for understanding how climate has changed in the past and how climate might change in the future. Statistical prediction of paleoclimate from tree ring widths is challenging because tree ring widths are a one-dimensional summary of annual growth that represents a multi-dimensional set of climatic and biotic influences. We de...

1. A multivariate continuous model In this section, we provide the following concrete example that satisfies all the assumptions of Theorems 3 and 5 in our manuscript. Let yik be the response at time k for the i th subject from N(μik = β0 + xikβ1, 1), k = 1, . . . , T = 3, i = 1, . . . , n = 50. Let yi = (yi1, · · · , yiT ) . The true value of (β0, β1) is (1, -1). Covariates xik’s are iid rando...

Room reverberation is typically the main obstacle for designing robust microphone-based source localization systems. The purpose of the paper is to analyze the achievable performance of acoustical source localization methods when room reverberation is present. To facilitate the analysis, we apply well known results from room acoustics to develop a simple but useful statistical model for the roo...

This paper proposes a method of predicting accuracy of keyword spotting in terms of FA count and spotting score of correct detections. A new measure F for predicting the FA count is calculated by simulation of the keyword spotting for phoneme sequences that phoneme-based language model generates. Another measure C for predicting the spotting score of correct detections is obtained from a produc...

We focus on the coupling of two existing and calibrated single currency Libor models into a joint Libor model that allows for pricing of multiple currency based structured interest rate products. Our main contribution is twofold: On the one hand we provide a method for synthesizing two local currency based correlation structures into a correctly defined joint correlation structure that describe...

Statistical measures of determinism for spikes train are described and analyzed. The analysis is focused on two dynamical invariants: nonlinear forecastability and correlation dimension. Two simple, generic, biologically motivated methods for generating spikes from the system are surveyed: an integrate-and-fire model (IF) and a threshold-crossing method (TC). The effect on the statistical measu...

The number of crime committed based on the malware intrusion is never ending as the number of malware variants is growing tremendously and the usage of internet is expanding globally. Malicious codes easily obtained and use as one of weapon to gain their objective illegally. Hence, in this research, diverse logs from different OSI layer are explored to identify the traces left on the attacker a...