In large scale learning problems it is often easy to collect simple statistics of the data, but hard or impractical to store all the original data. A key question in this setting is how to construct classifiers based on such partial information. One traditional approach to the problem has been to use maximum entropy arguments to induce a complete distribution on variables from statistics. Howev...

Recent within-twin estimates of the return to schooling that use instrumental variables to correct for measurement error are considerably higher than existing estimates. This paper extends Griliches’ [Griliches (1979) Sibling models and data in economics: beginnings of a survey, Journal of Political Economy 87, S37–S64]. analysis of sibling or twin estimates of the return to schooling to show t...

The performance of codes in a frequency-hopped spreadspectrum communication system with partial-band interference is investigated. The performance measure considered is the decoded bit error probability. A simplified interference model and worst-case partial-band Gaussian noise interference model is considered with the interference noise statistically independent of the transmitted signal. We c...

Business cycle estimates are typically the output of a two-stage filtering process: a statistical agency first publishes seasonally adjusted data, and from this an econometrician estimates the cycle. In many cases the two filtering procedures used are not compatible, because two different agents are acting on the data independently. This paper derives formulas to state the signal extraction Mea...

The paper provides general matrix formulas for minimum mean squared error signal extraction, for a finitely sampled time series whose signal and noise components are nonstationary ARIMA processes. These formulas are quite practical; as well as being simple to implement on a computer, they make it possible to easily derive important general properties of the signal extraction filters. We also ex...

In this paper, we investigate the performance of average capacity transdermal wireless optical communication system under effect pointing error and skin attenuation. The channel statistical model is assumed to be product a stochastic process due error, constant gain caused by Furthermore, employs intensity modulation direct detection with on-off signaling (IMDD/OOK), only considers zero boresig...

Spatial cross-validation and average-error statistics are examined with respect to their abilities to evaluate alternate spatial interpolation methods. A simple crossvalidation methodology is described, and the relative abilities of three, dimensioned error statistics—the root-mean-square error (RMSE), the mean absolute error (MAE), and the mean bias error (MBE)—to describe average interpolator...