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Bivariate point process case - PowerPoint PPT Presentation

Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing. Stochastic point process . Building blocks Process on R {N(t)}, t in R, with consistent set of distributions Pr{N(I 1 )=k 1 ,..., N(I n )=k n } k 1 ,...,k n integers ?? 0 I's Borel sets of R.

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437 views • 38 slides
Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing. Stochastic point process . Building blocks Process on R {N(t)}, t in R, with consistent set of distributions Pr{N(I 1 )=k 1 ,..., N(I n )=k n } k 1 ,...,k n integers ?? 0 I's Borel sets of R.

★ ★ ★ ★ ★

419 views • 34 slides
Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing. Stochastic point process . Building blocks Process on R {N(t)}, t in R, with consistent set of distributions Pr{N(I 1 )=k 1 ,..., N(I n )=k n } k 1 ,...,k n integers ?? 0 I's Borel sets of R.

★ ★ ★ ★ ★

305 views • 30 slides
Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1}

Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1}

Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1} (Y 1 , Y 2 ) E(Y 1 Y 2 } = Prob{( Y 1 ,Y 2 ) = (1,1)} {Y(t)} case. mean level: c Y (t) = Prob{Y(t) = 1}

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315 views • 24 slides
Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1}

Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1}

Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1} (Y 1 , Y 2 ) E(Y 1 Y 2 } = Prob{( Y 1 ,Y 2 ) = (1,1)} {Y(t)} case. mean level: c Y (t) = Prob{Y(t) = 1}

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246 views • 24 slides

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