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For a given set of parameters \(\theta\) and the number of high-frequency lags, returns weights implied by Beta density functional form.
beta_w(param, dayLag)
two-dimensional parameter vector \(\theta\).
number of high-frequency lags.
(normalized) weights vector.
# NOT RUN { param <- c(2,2) dayLag <- 22 beta_w(param, dayLag) # }
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