Our Algorithm

$$$$beta_n1 == i * median * \ * underset(i != j) median * \ * frac(y_n**(j)

- y_n**(i)) (x_n**(j) - x_n**(i)), \ * \ * i, j in(1, 2, ...,

K)

beta_n0 == i * median * \ * underset(i != j) median * \ * frac(x_n**(j)

* y_n**(i) - x_n**(i) * y_n**(j)) (x_n**(j) - x_n**(i)), \ *

\ * i, j in(1, 2, ..., K)

Our Algorithm

$$$$tau_n == gamma * widetilde(abs(r_n)) (1 + 5/(K - 1)), (abs(r_n)

)_tilde == median(abs(r_n))

Our Algorithm

$$$$e_n**(k) == r_n**(k)/tau_n

Our Algorithm

$$$$beta_n1 == i * median * \ * underset(i != j) median * \ * frac(y_n**(j)

- y_n**(i)) (x_n**(j) - x_n**(i)), \ * \ * i, j in(1, 2, ...,

K)

beta_n0 == i * median * \ * underset(i != j) median * \ * frac(x_n**(j)

* y_n**(i) - x_n**(i) * y_n**(j)) (x_n**(j) - x_n**(i)), \ *

\ * i, j in(1, 2, ..., K)

Our Algorithm

$$$$tau_n == gamma * widetilde(abs(r_n)) (1 + 5/(K - 1)), (abs(r_n)

)_tilde == median(abs(r_n))

Our Algorithm

$$$$e_n**(k) == r_n**(k)/tau_n